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Research article

On the driver's stochastic nature in car-following behavior: Modeling and stabilizing based on the V2I environment

  • Received: 22 August 2022 Revised: 17 October 2022 Accepted: 20 October 2022 Published: 02 November 2022
  • The driver's stochastic nature is one of the important causes of traffic oscillation. To better describe the impact of the driver's stochastic characteristics on car-following behavior, we propose a stochastic full velocity difference model (SFVDM) considering the stochastic variation of the desired velocity. In order to mitigate traffic oscillation caused by driving stochasticity, we further propose a stable speed guidance model (S-SFVDM) by leveraging vehicle-to-infrastructure communication. Stochastic linear stability conditions are derived to demonstrate the prominent influence of the driver's stochasticity on the stability of traffic flow and the improvement of traffic flow stability by the proposed guidance strategy, respectively. We present numerical tests to demonstrate the effectiveness of the proposed models. The results show that the SFVDM can capture the traffic oscillation caused by the driver's stochastic desired velocity and reproduce the same disturbance growth pattern as in the field experiment. The results also indicate that the S-SFVDM can significantly expand the stable area of traffic flow to decrease the negative impact on traffic flow stability caused by the driver's stochastic nature.

    Citation: Ying Luo, Yanyan Chen, Kaiming Lu, Jian Zhang, Tao Wang, Zhiyan Yi. On the driver's stochastic nature in car-following behavior: Modeling and stabilizing based on the V2I environment[J]. Electronic Research Archive, 2023, 31(1): 342-366. doi: 10.3934/era.2023017

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  • The driver's stochastic nature is one of the important causes of traffic oscillation. To better describe the impact of the driver's stochastic characteristics on car-following behavior, we propose a stochastic full velocity difference model (SFVDM) considering the stochastic variation of the desired velocity. In order to mitigate traffic oscillation caused by driving stochasticity, we further propose a stable speed guidance model (S-SFVDM) by leveraging vehicle-to-infrastructure communication. Stochastic linear stability conditions are derived to demonstrate the prominent influence of the driver's stochasticity on the stability of traffic flow and the improvement of traffic flow stability by the proposed guidance strategy, respectively. We present numerical tests to demonstrate the effectiveness of the proposed models. The results show that the SFVDM can capture the traffic oscillation caused by the driver's stochastic desired velocity and reproduce the same disturbance growth pattern as in the field experiment. The results also indicate that the S-SFVDM can significantly expand the stable area of traffic flow to decrease the negative impact on traffic flow stability caused by the driver's stochastic nature.



    In 1922, the mathematician Banach [1] proved the well-known fixed-point theorem named the Banach contraction principle in the settings of complete metric spaces. He proved that every contraction mapping on a complete metric space has a unique fixed-point. Thereafter, various generalizations and fixed-point results have been proved by many authors and some are recently appeared in [2,3,4].

    In 2007, Huang and Zhang [5] introduced the concept of cone metric spaces by replacing real numbers with a cone in a normed space. They also defined the convergence and Cauchyness concepts of sequences in terms of the interior points of the given cone. Moreover, they proved some important fixed-point theorems and extended the well-known Banach contraction principle to the settings of cone metric spaces where the respective cones are normal and solid. Such a line allows for investigating lots of studies and results in fixed-point theory without assuming the normality property of the underlying cone. The results of Huang and Zhang were generalized by Rezapour and Hamlbarani [6] by eliminating the normality assumption of the underlying cone. There are actually lots of generalizations of metric spaces in which the distance function takes values in ordered cones.

    Unfortunately, when cones are assumed to be normal and solid, these generalizations become impractical due to the equivalent of the topology induced by a metric and the topology induced by a cone metric. In fact; the equivalent characterizations have been shown by many authors, see for instance [7,8,9,10,11,12,13,14] and references cited therein. We also mention that Azam and Mehmood [15] introduced the notion of tvs-valued cone metric space to present the same notions in more general settings.

    In 2006, Bhaskar and Lakshmikantham [16] studied the existence and uniqueness of coupled fixed-point theorems for maps with mixed monotonic properties in metric spaces with a partial order. The obtained results were investigated using the assumption of weak contraction type.

    In 2009, Lakshmikantham and Ćirić [17] introduced more notations of mixed g-monotone maps and proved coupled coincidence and coupled common fixed-point theorems for such types of contractive maps in the case of partially ordered complete metric spaces. These presented results are a generalization of the results given in [16].

    In 2011, Janković et al. [18] showed that all fixed-point results in cone metric spaces wherein the underlying cone is normal and solid are proper copies of classical results in metric spaces. Therefore, any generalizations of fixed-point from metric space to cone metric space are repeated.

    In 2012, Sönmez [19,20] defined a partial cone metric space and studied its topological properties. In the same paper, fixed-point results for some contractive types of operators are proved in the generalized complete partial cone metric spaces.

    In 2012, Samet et al. [21] initially considered the notion of α-admissible mappings in metric spaces and they gave some examples to elucidate and support the concept. Furthermore, they presented some relevant fixed-point results for such a class of mappings in this space. Subsequently, a number of authors have exploited the concept of α-admissible contraction types of mappings to study the existence of fixed-points in many generalized spaces.

    In 2013, Malhotra et al. [22], Jiang and Li [23] extended the results of [19] and [20] to θ-complete partial cone metric spaces without using the normality condition of the ordered cones. In all the results listed before, the given Banach space is considered to be with a solid cone.

    In 2017, Basile et al. [24] defined the notion of semi-interior point as a partial treatment of the non-solidness problem of cones and hence solved many equilibrium and computer problems in this setting.

    In 2018, Aleksi´ et al. [25] gave a survey on some properties and results of (non)-normal and (non)-solid cones. On the other hand, they showed that any solid cone in a topological vector space can be replaced by a solid and normal cone in a normed space. Consequently, most of the problems in (TVS) cone metric spaces can be reduced to their standard metric counterparts.

    In 2019, Mehmood et al. [26] defined a new concept of convergence by means of semi-interior points of the positive cone in the settings of E-metric spaces. The authors proved some generalizations of fixed point theorem of contraction, Kannan and Chatterjea types of mappings in the context of E-metric spaces where the underlying positive cone of a real normed space E is non-solid and possibly non-normal.

    After that, Huang et al. [27] explored some topological properties and fixed point results in cone metric spaces over Banach algebras. Also, Huang [28] gave some fixed points theorems with some applications in E-metric spaces using the concept of semi-interior points.

    In 2020, 2021 and 2022 Sahar Mohamed Ali Abou Bakr [29,30,31,32] studied various types of cone metric spaces and made some generalizations in the case of b-cone metric spaces, cone metric spaces, θ-cone metric spaces and b-cone metric spaces and applied these generalizations to some fixed-point and coupled fixed-point theorems.

    In 2022 Sahar Mohamed Ali Abou Bakr [33] considered non-normal and non-solid cones and proved more generalized fixed-point theorems in the case of generalized b-cone metric spaces over Banach algebras.

    Motivated by the preceding studies, most of our efforts in this research are directed to study the topological structure of partially satisfactory cone metric spaces when cones in normed spaces fail to have interior points but have semi-interior points and the cones possibly non-normal. As a sequel, in the settings of partial satisfactory cone metric spaces, we generalize many concepts of α-admissible types of mappings and define improved wider categories of these generalized functions of α-admissibility types. Since the class of α-admissible mappings are a special case of these improvements, we find results valid to a wider range of contraction classes of mappings. Further, we investigate a new aspect of fixed-point theory where the real contraction constant of the fundamental contraction inequality is replaced by a suitable control sequence of positive real numbers backed by a certain condition to make the generalized inequality more general. Besides that, we will stick to looking for coincidence points, coupled coincidence points, coupled fixed-point and fixed-points of the contraction mapping in a small set of points rather than the whole domain of the mapping. In fact; we precisely combine all of the above trends in our obtained main results.

    For the sake of simplicity in notation, here and in what follows, let E be a real Banach space, θ be the zero vector in E, C be a cone in E, IntC denotes the set of all interior points of C, U:={xE:x1} denotes the closed unit ball of E and the set U+:=UC denotes the positive part of the unit ball of E defined by C.

    Whenever misunderstandings might occur, we write UE to confirm that UE is the closed unit ball in the space E and we denote by UE+, the positive part of UE.

    Any cone CE defines the following partial ordered relations:

    xy if and only if yxC,
    xy if and only if yxCandxy,

    and

    xy if and only if yxIntC.

    The following basic definitions and facts are mostly presented in [5,6,7,8,9,10,12,13,14,15,19,20,22,23,24,29,30,31,32,33,34].

    Definition 2.1. A cone C of a real Banach space E is solid if and only if IntC and it is normal if and only if there exists a real number M>0 such that xMy for every x,yE with θxy. The smallest positive constant M for which the above inequality holds is called the normal constant of C.

    Lemma 2.2. Let C be a solid cone of the normed space (E,.) and {un}nN be a sequence in E. Then, un.θ implies that for each cIntC, there exists a positive integer n0 such that unc for all nn0.

    Definition 2.3. A partial cone metric on a non-empty set X is a mapping p:X×XC such that for all x,y,zX, the following conditions are satisfied:

    (PCM1):θp(x,x)p(x,y);

    (PCM2):Ifp(x,x)=p(x,y)=p(y,y), then x=y;

    (PCM3):p(x,y)=p(y,x);

    (PCM4):p(x,y)p(x,z)+p(z,y)p(z,z).

    The quadruple (X,E,C,p) in this case is said to be partial cone metric space.

    Theorem 2.4. Any partial cone metric space (X,E,C,p) is a topological space. If C is a normal cone, then (X,E,C,p) is T0space.

    Definition 2.5. Let (X,E,C,p) be a partial cone metric space over a solid cone C and {xn}nN be a sequence in X. Then, we have the following:

    (1) {xn}nN converges to xX if and only if for each cθ, there exists a positive integer n0 such that p(xn,x)p(x,x)+c for all nn0. This type of convergence denoted by xnτpx.

    (2) {xn}nN strongly converges to xX, if limnp(xn,x)=limnp(xn,xn)=p(x,x), the limit is taken with respect to the norm . on E. This type of convergence denoted by xnsτpx.

    (3) {xn}nN is a θ-Cauchy if and only if for each cθ, there exists a positive integer n0 such that p(xn,xm)c for all n,mn0.

    (4) The partial cone metric space (X,E,C,p) is a θ-complete, if each θ-Cauchy sequence {xn}nN of X converges to some point xX with p(x,x)=θ.

    (5) {xn}nN is Cauchy, if there exists uC such that limnp(xn,xm)=u.

    (6) The partial cone metric space (X,E,C,p) is complete if and only if every Cauchy sequence {xn}nN of X strongly converges to some point xX with p(x,x)=u.

    Remark 2.6. Every complete partial cone metric space (X,E,C,p) is θ-complete, but the converse is not generally true. In fact; example (3) in [32] is an example of θ-complete partial cone metric space with a Cauchy sequence which is not strongly convergent to any element in X. Consequently, it represents an example of θ-complete partial cone metric space which is not complete.

    Now, we recall a class of cones in an ordered normed spaces (E,.) defined by means of points in C, cones with semi-interior points, that are weaker than the one of interior points of C. The concept of semi-interior point of cone C and some of its characteristics can be found in [24,28].

    Definition 2.7. The vector x0C is called semi-interior point of C if there exists a positive real number ρ>0 such that x0ρU+C.

    The set of semi-interior points of C is generally denoted by C. The partial ordered relation can be defined for x,yE as follows:

    xy if and only if yxC.

    In particular; we have

    θx if and only ifxC.

    Remark 2.8. (1) We have the following relations:

    (a) C+CC.

    (b) C+CC.

    (c) αCC for any real number α>0.

    (2) Any interior point of a cone C is a semi-interior point of C with respect to the norm . on E, while the converse is not true. Some examples of non-solid cones in normed and Banach spaces having some semi-interior points can be found in [24].

    By the help of example (2.5) in [24], we rebuild an illustrative example to support definition (2.7) in the following way:

    Example 2.9. Let Xn:=(R2,.n) be the Banach space R2 ordered by the point-wise ordering and equipped with the norm .n defined by the following formula:

    (xn1,xn2)n={|xn1|+|xn2|,xn1xn20,max{|xn1|,|xn2|}(n1n)min{|xn1|,|xn2|},xn1xn2<0.

    Figure 1 sketches the closed unit ball of Xn whose vertices are the points (1,0), (0,1), (n,n), (1,0), (0,1) and (n,n).

    Figure 1.  The closed unit ball in Xn.

    Let β={βn}nN be any sequence of positive numbers, βn>0 for all nN. Denote by E:=(nNXn)(β), the linear space of all sequences defined by:

    E:=(nNXn)(β)={{xn}nN:xn=(xn1,xn2)Xn,{βnxnn}nN}.

    Endow the space E:=(nNXn)(β) with the following norm:

    x(β)=supnN{βnxnn}foreveryx={xn}nNE.

    Assume that the space E is ordered by the cone

    C:={x={xn}nNE:xn=(xn1,xn2),xni0,i{1,2},nN}.

    Choose in particular the weighted sequence β={1n}nN and let x={(n,n)}nN. Since x({1n}nN)=supnN{2n 1n}=2<, we see that xC is not an interior point of C.

    Now, take any y={(yn1,yn2)}nNUE+. Then, we have

    1n(yn1,yn2)ny({1n}nN)1forallnN.

    Clearly, xy={(nyn1,nyn2)}nN. It is easy to check that

    nyn1(n1n)+yn2yn20forallnN.

    Similarly, we have nyn20forallnN. Thus, we find a real number ρ=1>0 such that xyCforall yUE+. Therefore, x={(n,n)}nNC.

    Depending on Huaping Huang results [28] in 2019, the following results are based on the assumption that the cone C has a semi-interior points.

    Definition 2.10. A sequence {xn}nN in C is called s-sequence, if for each cC, there exists n0N such that xnc for all nn0.

    Lemma 2.11. Let {xn}nN be a sequence in E and xnθ as n. Then, {xn}nN is ssequence.

    Proposition 2.12. Let x,y,zE. Then, xz if one of the following holds:

    eitherxyz,xyz,orxyz.

    Proposition 2.13. If θuc holds for any cC, then u=θ.

    Proposition 2.14. Let (X,E,C,p) be a partial cone metric space. Then, some topology τp is generated on X and defined by:

    τp={UX:xU,cC,Bp(x,c)U}{ϕ},X=BpβpBp.

    The base of this topology is given by βp={Bp(x,c):(x,c)X×C}, where the set Bp(x,c):={yX:p(x,y)c+p(x,x)} is the neighborhood of x with radius c.

    In the following, redefined versions of the convergent and Cauchy sequences in our space are given by exchanging roles of and . Therefore, the new definitions are controlled by C instead of IntC.

    Definition 2.15. Let (X,E,C,p) be a partial cone metric space, xX and {xn}nN be a sequence in X. Then,

    (1) {xn}nN is convergent to x, we denote this by xnτpx, whenever for every cE with cθ, there is n0N such that p(xn,x)p(x,x)+c for all nn0.

    (2) {xn}nN is strongly convergent to x, we denote this by xnsτpx, if limnp(xn,x)=limnp(xn,xn)=p(x,x).

    (3) {xn}nN is a θ-Cauchy whenever for every cE with cθ, there is n0N such that p(xn,xm)c for all n,mn0. That is; a sequence {xn}nN is a θ-Cauchy if and only if p(xn,xm)θ asn,m.

    (4) The partial cone metric space (X,E,C,p) is said to be θ-complete, if each θ-Cauchy sequence {xn}nN of X converges to x in X such that p(x,x)=θ.

    (5) {xn}nN is Cauchy, if there is uC such that limn,mp(xn,xm)=u.

    (6) The partial cone metric space (X,E,C,p) is complete, if each Cauchy sequence {xn}nN in X is strongly convergent to xX such that p(x,x)=u.

    Remark 2.16. (1) A sequence {xn}nN is a θ-Cauchy if and only if {p(xm,xn)}m,nN is s-sequence in E.

    (2) For ssequence which is not convergent, one can see example (2) in [23].

    (3) Each strongly convergent sequence of a partial cone metric space (X,E,C,p) is convergent with respect to τp. However, the converse of this fact need not hold. In particular; the converse is true if C is a normal cone. In fact; example (3) in [23] showed the existence of some sequences of a partial cone metric space which are convergent, but not strongly convergent if the cone C is non-normal.

    Now, we are going to highlight two new classes of cones in normed spaces, namely; semi-solid cones and satisfactory cones. These classes will play a key role in our results and enable moving the roles from interior points to semi-interior points of cones.

    Definition 2.17. A cone C in the normed space E is called semi-solid if and only if it has a non-empty set of semi-interior points, C, and it is called a satisfactory cone if and only if cone C satisfies any one of the following:

    (1) C is normal and solid,

    (2) C is not-normal and solid,

    (3) C is normal and semi-solid,

    (4) C is not-normal and semi-solid.

    A partial cone metric space (X,E,C,p) is said to be a partial satisfactory cone metric space if and only if the cone C is satisfactory.

    With this notion, the above-mentioned conclusions are still working with non-normal semi-solid cones and hence generally for partial (satisfactory) cone metric spaces. Particularly, the following remark is a direct consequence of Lemma (2.11) and part (3) of Definition (2.15).

    Remark 2.18. Let (X,E,C,p) be a partial (satisfactory) cone metric space. Then,

    (1) A complete partial (satisfactory) cone metric space is a subcategory of a θ-complete partial (satisfactory) cone metric space. In particular; if C is a normal cone of the normed space (E,.), then every θCauchy sequence in (X,E,C,p) is a Cauchy sequence and every complete partial (satisfactory) cone metric space is θcomplete.

    (2) If {yn}nN is s-sequence in E satisfying p(xn,xm)yn for all m,nN withm>n, then {xn}nN is a θ-Cauchy sequence in X.

    (3) If {xn}nN is a sequence in X, {αn}nN is a sequence in E that converges to θ and satisfying p(xn,xm)αnforallm,nNwithm>n, then {xn}nN is a θ-Cauchy sequence.

    (4) The limit of a convergent sequence in a partial (satisfactory) cone metric space may not be unique. In fact; the partial (satisfactory) cone metric space (X,E,C,p) need not be T1space. Actually, Example (3.1) in [35] and Examples (3), (11) in [32] showed that the limit of convergent sequence in (X,E,C,p) is not necessarily unique.

    (5) The partial (satisfactory) cone metric p is not always continuous mapping, in the sense of xnτpx and ynτpy imply that p(xn,yn).p(x,y). In other words; the fact that p(xn,yn).p(x,y) if xnτpx and ynτpy, is not guaranteed. See example (11) in [32].

    Now, we are going to display the concept of α-admissible mappings defined by Samet [21] and review the essential definition of generalized α-admissible mappings given by Zhu [36].

    Definition 2.19. Let X be a non-empty set, α:X×X[0,) be a mapping and S,T:XX be two self-mappings. Then,

    (1) T is said to be an α-admissible, if for every x,yX,

    α(x,y)1impliesα(Tx,Ty)1.

    (2) S and T are called generalized α-admissible, if for every x,yX,

    α(Sx,Sy)1impliesα(Tx,Ty)1.

    Before starting the core results, we need to recall some standard terminology from fixed-point theory.

    Definition 2.20. [37] Let X be a non-empty set and T,S:XX be mappings such that TXSX. If v=Tu=Su for some uX, then u is a coincidence point of T and S, and v is a point of coincidence of T and S. Furthermore, if Tv=Sv=v, then v is a common fixed-point of T and S. Finally, if TSw=STw, whenever Tw=Sw for some wX, then T and S are said to be weakly compatible. That is; if they commute at their coincidence points.

    For simplicity, we use the notation Λ to denote the set of coincidence points of T and S.

    Proposition 2.21. [37] Let T and S be coincidentally commuting self-mappings on a set X. If T and S have a unique point of coincidence w=Tx=Sx, then w is the unique common fixed-point of T and S.

    We need to consider the followings which will be effectively used in the proof of our next main results.

    Definition 2.22. [16] Let (X,) be an ordered set and T:X×XX. Then, T is said to have the mixed monotone property in X, if for any x,yX,

    {x1,x2X,x1x2impliesT(x1,y)T(x2,y),y1,y2X,y1y2impliesT(x,y1)T(x,y2).

    Definition 2.23. [16] An element (x,y)X×X is said to be a coupled fixed-point of the mapping T:X×XX, if T(x,y)=x and T(y,x)=y.

    Definition 2.24. [17] Let T:X×XX and S:XX be two mappings. An element (x,y)X×X is called a coupled coincidence point of the mappings T and S, if T(x,y)=SxandT(y,x)=Sy, and (Sx,Sy) is called coupled point of coincidence.

    Definition 2.25. [17] Let (X,) be a partially ordered set, T:X×XX and S:XX be two mappings. Then, T is said to have the mixed S-monotone property, if T is monotone S-non-decreasing in its first argument and is monotone S-non-increasing in its second argument. That is; for any x,yX

    {x1,x2X,Sx1Sx2impliesT(x1,y)T(x2,y),y1,y2X,Sy1Sy2impliesT(x,y1)T(x,y2).

    The following definitions are part of the main topics in our work.

    Remark 2.26. Suppose that (X,) is a partially ordered set and let (X,E,C,p) be a partial (satisfactory) cone metric space. Then, a partial ordered relation on X can be induced on X×X in the following way: for every (x,y)and(u,v)X×X,

    (x,y)(u,v)ifandonlyifxuandyv.

    The element (x,y) is said to be comparable to (u,v), if either (x,y)(u,v), or (x,y)(u,v) and the sequence {(xn,yn)}nNX×X is non-decreasing with respect to , if (xn,yn)(xn+1,yn+1)foralln.

    Definition 2.27. Let (X,E,C,p) be a θcomplete partial (satisfactory) cone metric space ordered with the relation . Then, (X,E,C,p,) is said to be regular, if X has the following properties:

    (1) If for every non-decreasing sequence {xn} in X such that xnτpx, then xnxfor alln.

    (2) If for every non-increasing sequence {yn} in X such that ynτpy, then ynyfor alln.

    Definition 2.28. [38] Let T:X×XX and α:X2×X2[0,) be given mappings. Then, T is said to be an α-admissible mapping, if for all (x,y),(u,v)X×X, the following is satisfied

    α((x,y),(u,v))1impliesα(T(x,y),T(y,x),T(u,v),T(v,u))1.

    Definition 2.29. [39] Let T:X×XX,S:XX and α:X2×X2[0,) be mappings. Then, T and S are said to be αadmissible, if

    α((Sx,Sy),(Su,Sv))1impliesα(T(x,y),T(y,x),T(u,v),T(v,u))1

    for all x,y,u,vX.

    Let T:XX be a given self-mapping. The set of all fixed-points of the mapping T is denoted by Fix(T)={xX:Tx=x}.

    Lemma 3.1. Every contraction mapping on a metric space (X,d) is an α-admissible mapping for some mapping α:X×X[0,). However, not every α-admissible mapping is a contraction mapping.

    Proof. Let T be a contraction mapping on a metric space (X,d). Then, there exists a constant k(0,1) such that d(Tx,Ty)kd(x,y) for every x,yX. Consider the mapping α:X×X[0,) be defined by

    α(x,y)={1d(x,y), if xy,1, otherwise. 

    Then, T is an α-admissible mapping. More exactly, we need here to think over two situations as follows:

    Case(1): For any xy in X, we have 1k1d(x,y)1d(Tx,Ty). This implies α(x,y)kα(Tx,Ty). Since 0<k<1, then we have α(x,y)<α(Tx,Ty). It is fairly simple to see that α(Tx,Ty)1 whenever α(x,y)1.

    Case(2): Otherwise, we know that x=yimpliesd(x,y)=0. Imposing that T is a contraction mapping on X, it yields d(Tx,Ty)=0 and so Tx=Ty. Eventually, the conclusion that α(Tx,Ty)=α(x,y)=1 is valid for x=y. In both cases, the contraction mapping T is an αadmissible mapping, but not conversely in general.

    We demonstrate that the converse of Lemma (3.1) is not true as in the following example.

    Example 3.2. Let X be the metric space ([0,),d) with the absolute value metric function d(x,y)=|xy| for all x,y[0,). Let T:XX andα:X×X[0,) be defined by

    Tx=xforallxXandα(x,y)={exy,forxy,0,otherwise.

    Then, T is an α-admissible mapping, but it is not contraction because T has two fixed-points on the given complete metric space, Fix(T)={0,1}.

    Remark 3.3. By virtue of Lemma (3.1) and Example (3.2), we can understand that the class of αadmissible mappings is effectively more generalized than the class of contraction mappings.

    In the sequel, we will continue to modify the concept of α-admissible operators by generalizing a new function class of such mappings in more general conditions.

    We state Definition (3.4) in the line of Definition (2.19) as follows:

    Definition 3.4. Let (X,E,C,p) be a partial (satisfactory) cone metric space and C be a cone of a normed space (E,.). In a non-empty set X, define T:XX and α:X×XC. Assume that crunsthroughC{θ}. Then,

    (1) T is said to be αcadmissible mapping if and only if

    α(Tx,Ty)cwheneverα(x,y)c.

    (2) (X,E,C,p) is αcregular, if for any sequence {xn}nN in X such that α(xn,xn+1)c for all nN and xnτpxX, we have α(xn,x)c for sufficiently large n.

    Inspired by Definition (3.4), we went further, defining a new class of αadmissible mappings which is different from and stronger than the one introduced in Definition (3.4). The refinement version of these mappings will be crucial in our main results.

    Definition 3.5. Let (X,E,C,p) be a partial (satisfactory) cone metric space and C be a cone of a normed space (E,.). In a non-empty set X, define T:XX and α:X×XC. Assume that {cn}nN be a non-zero sequence in C. Then,

    (1) T is said to be αsequentially admissible mapping if and only if

    α(Tx,Ty)cn+1wheneverα(x,y)cnforeverynN.

    (2) (X,E,C,p) is said to be αsequentially regular, if for any sequence {xn}nN in X such that α(xn,xn+1)cn+1 for all nN and xnτpxX, we have α(xn,x)cn+1 for sufficiently large n.

    Remark 3.6. (1) Note that the class of all αadmissible operators described in Definition (2.19), is included in two classes of all αcadmissible and αsequentially admissible operators. Indeed; in Definition (3.4), let (E,.):=(R,|.|), where the normed space E is endowed with the usual ordering of real numbers and ordered by the cone C:=[0,). Further, if c=1, then T is an α-admissible mapping. Similarly, in Definition (3.5), let (E,.),Cand be the same ones as those stipulated above. Moreover, let {cn}nN be the constant sequence cn=1 for all nN. Thus, T is an α-admissible mapping.

    (2) The class of all αcadmissible operators is included in the class of all αsequentially admissible operators. In fact; suppose that T is αcadmissible operator. In Definition (3.5), we can take {cn}nN equals the constant sequence cn=c for all nN. Thus, T is αsequentially admissible operator. It is obvious that the last category is the widest.

    (3) If T is αsequentially admissible and {cn}nN is an increasing sequence starting with the element cn0θ, then T is αcnadmissible mapping for every nn0. This is true in particular for arithmetic sequences with base c belonging to C, where c1=c1,c2=c1+c,,cn=c1+(n1)c,nN.

    (4) If T is αsequentially admissible mapping and {cn}nN is a decreasing sequence bounded below by θcC, then for every θcC, there is n(c)N such that ccn(c)c+c. Now, the inequality α(x,y)c+c implies α(x,y)cn(c), and the later one suggests that α(Tx,Ty)cn(c)+1. Using the lower bound c, it follows that α(Tx,Ty)c.

    Taking inspiration from Definition (2.19), we shall establish our newly corresponding generalizations in the following way:

    Definition 3.7. Let (X,E,C,p) be a partial (satisfactory) cone metric space and C be a cone of a normed space (E,.). In a non-empty set X, define T,S:XX and α:X×XC. Assume that crunsthroughC{θ} and {cn}nN be a non-zero sequence in C. Then,

    (1) The mapping T is called αScadmissible, if

    α(Sx,Sy)cimpliesα(Tx,Ty)c.

    (2) T is called αSsequentially admissible if and only if

    α(Sx,Sy)cnimpliesα(Tx,Ty)cn+1forallnN.

    Remark 3.8. Every αcadmissible is αIcadmissible, where I denotes the identity mapping on X. Similarly, every αsequentially admissible mapping is αIsequentially admissible.

    To ensure clarity, we will deal particularly with partial satisfactory cone metric spaces in which the cone C is semi-solid and need not be normal. The results in the case of ordering solid cones will be the same as those concerning the case of semi-solid cones. It is important to mention that our results are valid in all cases of the satisfactory cone C.

    We begin with the following main generalized theorem.

    Theorem 3.9. Suppose that (X,E,C,p) is a θ-complete partial satisfactory cone metric space. Let α:X×XC be a symmetric mapping and T,S:XX be two self-mappings. Presume that {cn}nN is a non-zero sequence in C. Also, assume that the following assumptions are fulfilled:

    (1) TXSX and SX is a closed subset of X;

    (2) T is αSsequentially admissible mapping;

    (3) There exists x0X such that α(Sx0,Tx0)c1;

    (4) (X,E,C,p) is αSsequentially regular;

    (5) There is a sequence of positive real numbers {kn}nN such that limnkn<1 and satisfying the following condition:

    p(Tx,Ty)knp(Sx,Sy)for everyx,yXwithα(Sx,Sy)cn,nN.

    Then, T and S have coincidence points. Moreover, if T and S are weakly compatible such that for all x,yΛ we have α(Sx,Sy)c1, then T and S have a unique common fixed-point in X.

    Proof. From assumption (3), there exists x0X such that

    α(Sx0,Tx0)c1. (3.1)

    Since TXSX, we get an element x1X such that Sx1=Tx0. Again, we set Sx2=Tx1. In a similar manner, we define two sequences {xn}nN and {yn}nN as follows: yn+1=Sxn+1=Txnfor allnN.

    First, if we can find some NN such that yN=yN+1, then we have

    TxN=SxN+1=yN+1=yN=SxN.

    Thus, xN is a coincidence point of T and S and the conclusion is checked. Without any loss of generality, we consider that ynyn+1 for all nN.

    Since α(Sx0,Tx0)=α(Sx0,Sx1), inequality (3.1) gives the following:

    α(Sx0,Sx1)c1. (3.2)

    Since T is αSsequentially admissible, inequality (3.2) implies α(Tx0,Tx1)c1. Consequently, we have α(Sx1,Sx2)c2 and so α(Tx1,Tx2)c2. By repetition of the above procedure, we get α(Sxn,Sxn+1)cn+1 which implies α(Txn,Txn+1)cn+1. Equivalently; we get

    α(yn,yn+1)cn+1for allnN. (3.3)

    This in turns implies the following:

    α(Sxn,Sxn+1)cn+1. (3.4)

    Taking advantage of the given generalized contractive condition (5), we arrive at

    p(yn+1,yn+2)kn+1p(Sxn,Sxn+1)=kn+1p(yn,yn+1).

    Using a similar way of the above process up to n times, we obtain

    p(yn,yn+1)knp(yn1,yn)[kn×kn1]p(yn2,yn1)[ni=1ki]p(y0,y1).

    Consider the sequence

    s1:={k1,k1×k2,k1×k2×k3,,nj=1kj,}

    with an:=nj=1kj, we have limnanan1=limnkn<1. Hence, the sequence s1 should converge to zero sequence, limnan=0, and we have

    p(yn,yn+1)anp(y0,y1)nθ. (3.5)

    For any n,pN, we have

    p(yn,yn+p)(PCM4)n+p1i=np(yi,yi+1)n+p1i=n[ij=1kj]p(y0,y1)
    =ni=1ki[1+kn+1+kn+1×kn+2+kn+1×kn+2×kn+3
    ++n+p1i=n+1ki]p(y0,y1).

    Consider the sequence

    s2:={1,kn+1,kn+1×kn+2,kn+1×kn+2×kn+3,,n+p1i=n+1ki,}

    with bn:=n+p1i=n+1ki, we have limnbnbn1=limnkn+p1<1. Hence, using the usual form of the Ratio test of series, the sequence of partial sums of s2 should converge to some number (say) k such that

    k:=1+kn+1+kn+1×kn+2+kn+1×kn+2×kn+3++n+p1i=n+1ki+.

    Thus, one can see that {lm=1[n+1+mj=n+1kj]}lN is convergent to some number (say) K such that

    K:=limllm=1[n+1+mj=n+1kj]=m=1[n+1+mj=n+1kj].

    In conclusion, we proved the following:

    p(yn,yn+p)an[1+kn+1+kn+1×kn+2++n+p1i=n+1ki]p(y0,y1)anKp(y0,y1).

    Since {anKp(y0,y1)}nN is convergent to zero, limnanKp(y0,y1).θ, it is ssequence. Now, let cE with cθ, then there exists n0N such that

    anKp(y0,y1)cfor allnn0.

    Hence, for any n,pN, we have

    p(yn,yn+p)anKp(y0,y1)cfor allnn0.

    This concluded that for any n,pN and any cθ, there exists n0N such that

    p(yn,yn+p)cfor allnn0.

    Owing to the above arguments, we find that {yn}nN is a θ-Cauchy sequence in (X,E,C,p).

    Regarding the θ-completeness of the space, there exists an element (say) yX such that ynτpy and p(y,y)=θ. Since {yn}nNSX and SX is closed set in X, it leads that ySX. Then, there exists zX such that y=Sz.

    Now, we wish to show that Tz=Sz. Employing (PCM4), we have

    p(Tz,Sz)p(Tz,Txn)+p(yn+1,y).

    Since α(yn,yn+1)cn+1 for all nN and ynτpy, by making use of condition (4), we obtain α(yn,y)=α(Sxn,Sz)cn+1 for sufficiently large n.

    Accordingly, we find p(Tz,Sz)kn+1p(y,yn)+p(yn+1,y). Since ynτpy, then for cE with cθ and for allmN, choose n3N such that

    kn+1p(yn,y)c2mandp(yn+1,y)c2mfor allnn3.

    Hence, for all cθ and for allmN, it follows that p(Tz,Sz)cm. Taking the limit as m, we get p(Tz,Sz)=θ and so Tz=Sz.

    Therefore, T and S have a coincidence point in X. As a last step, we claim that T and S possess a unique point of coincidence. In order to obtain the claim, consider that Tw=Sw be another point of coincidence of T and S. So, we assume that Tw=SwTz=Sz. By the hypothesis α(Sw,Sz)c1, we have p(Tw,Tz)k1p(Sw,Sz)=k1p(Tw,Tz). As 0<k1<1, we get p(Tw,Tz)=θ and so Tw=Tz. This contradicts the assumption that Tw=SwTz=Sz. Thus, the point of coincidence is uniquely determined. Bearing the assertion that the mappings T and S are weakly compatible in mind, we deduce that Sv=STz=TSz=Tv. Regarding to the uniqueness of the point of coincidence of T and S, we get Tv=Sv=v.

    As a consequence, v is the unique common fixed-point of T and S and so the proof is done.

    Once again, we can here replace the condition C with the other states of the satisfactory cone C, if we wish.

    Remark 3.10. As a special case, if we replace the mapping S with I, the identity mapping on X, in the statement of Theorem (3.9), we conclude that any mapping with these prescribed conditions has fixed-points in X.

    Now our purpose is to determine sufficient conditions to acquire the uniqueness of the fixed-point of the mapping T stipulated in Theorem (3.9) with S=I.

    Proposition 3.11. Assume that all the hypothesis of Theorem (3.9) are verified with S=I. Furthermore, suppose that the following properties are hold:

    Let cC such that cci0 for some ci0C{θ} and i0N. Let the set {α(x,y):x,yFix(T)} be bounded below by c. Under these conditions, we obtain that the fixed-point of T is uniquely determined.

    Proof. Since T satisfies the hypothesis of Theorem (3.9), then the fixed-point of T exists. We show that the set Fix(T) is in fact reduced to a single point. For this, if possible, let x,yFix(T). Then, α(x,y)c and so α(x,y)ci0. Making use of condition (2) in Theorem (3.9), we guarantee that α(Tx,Ty)=α(x,y)ci0+1. Continuing in this way, we derive that α(x,y)cnfor allni0. We can now apply assumption (4), which leads to p(Tx,Ty)knp(x,y)for allni0. That is; p(x,y)knp(x,y)for allni0. On taking the limit as n of the sequence {(kn1)p(x,y)}ni0 gives us p(x,y)C. Thus, we have p(x,y)C, but p(x,y)C and so p(x,y)CC={θ}. Then, p(x,y)=θ implies x=y. Therefore, the set Fix(T) should be singleton.

    As a usual relationship between more and less general theorem, we have the following one:

    Corollary 3.12. Suppose that (X,E,C,p) is a θ-complete partial satisfactory cone metric space. Let α:X×XC be a symmetric mapping and T:XX be a self-mapping. Presume that {cn}nN is a non-zero sequence in C. Also, assume that the following assumptions are fulfilled:

    (1) There exists NN such that TN is αsequentially admissible;

    (2) There exists x0X such that α(x0,TNx0)c1;

    (3) (X,E,C,p) is αsequentially regular;

    (4) There is a sequence of positive real numbers {kn}nN such that limnkn<1 and satisfying the following condition:

    p(TNx,TNy)knp(x,y)for everyx,yXwithα(x,y)cn,nN.

    Then, the mapping T has fixed-points in X.

    Theorem 3.13. Suppose that (X,E,C,p) is a θ-complete partial satisfactory cone metric space. Let α:X×XC be a symmetric mapping and T:XX be a bijective self-mapping. Presume that {cn}nN is a non-zero sequence in C. Also, assume that the following assumptions are fulfilled:

    (1) T1 is αsequentially admissible mapping;

    (2) There exists x0X such that α(x0,T1x0)c1;

    (3) (X,E,C,p) is αsequentially regular;

    (4) There is a sequence of positive real numbers {kn}nN such that limn(kn)1<1 and satisfying the following condition:

    p(Tx,Ty)knp(x,y)for everyx,yXwithα(x,y)cn+1,nN.

    Then, the mapping T has fixed-points in X.

    Proof. Since T is bijective, then it is an invertible mapping, say T1:XX is the inverse mapping of T. Let x0X be a chosen point and define the sequence x1=T1x0, x2=T1x1=(T1)2x0, , xn=T1xn1=(T1)nx0for allnN. Since α(x0,T1x0)c1, we conclude that

    α(x0,T1x0)=α(x0,x1)c1(1)α(T1x0,T1x1)=α(x1,x2)c2.

    Inductively, we get α(xn,xn+1)cn+1for allnN.

    We can employ condition (4) as follows: p(xn1,xn)=p(Txn,Txn+1)knp(xn,xn+1)for allnN. This is equivalent to p(xn,xn+1)(kn)1p(xn1,xn)for allnN. Set ηn=(kn)1 for all nN, we infer that

    p(xn,xn+1)ηnp(xn1,xn)[nj=1ηj]p(x0,x1).

    For n,pN, consider

    p(xn,xn+p)n+p1i=np(xi,xi+1)i=n[ij=1ηj]p(x0,x1).

    The next step is easily obtained by following the related lines from the proof of Theorem (3.9). Hence, we assure that {xn}nN={(T1)nx0}nN is a θ-Cauchy sequence. For the sake of θ-completeness of the space, there exists xX such that xnτpx with p(x,x)=θ. Now, we show that x is a fixed-point of T. Since T is onto, there exists uX such that x=Tu. Since we have xnτpx and α(xn,xn+1)cn+1 for allnN, then it follows that α(xn,x)cn+1 for sufficiently large n.

    Thereafter, by using assumption (1), we get α(xn+1,u)cn+2. Suppose now that condition (4) takes place, we conclude that

    p(xn,x)=p(T(T1xn),Tu)kn+1p(xn+1,u).

    Hence, p(xn+1,u)ηn+1p(xn,x). Since xnτpx, then for any cθ, there exists n0N such that

    ηn+1p(xn,x)c2andp(xn+1,x)c2for allnn0.

    For all nn0 and for any cθ, consider that

    p(u,x)(PCM4)p(u,xn+1)+p(xn+1,x)ηn+1p(xn,x)+p(xn+1,x)c.

    In conclusion, we arrive at

    θp(u,x)cholds for anycCimpliesp(u,x)=θ.

    Which leads us to u=x=Tu. Since T is injective mapping, then Tx=Tu=x. Therefore, xX is a fixed-point of T and Fix(T).

    Now, let us introduce our newly major concepts.

    Definition 3.14. Let (X,E,C,p) be a partial satisfactory cone metric space. In a non-empty set X, define T:X×XX, S:XX and β:X2×X2C. Let {cn}nN be a non-zero sequence in C. Then,

    (1) T is called βSsequentially admissible mapping if and only if

    β((Sx,Sy),(Su,Sv))cnimpliesβ((T(x,y),T(y,x)),(T(u,v),T(v,u)))cn+1

    forallnNandforallx,y,u,vX.

    (2) (X,E,C,p) is said to be βS-sequentially regular, if {xn} and {yn} are two sequences in X such that

    {β((Sxn,Syn),(Sxn+1,Syn+1))cn+1,β((Syn,Sxn),(Syn+1,Sxn+1))cn+1

    forallnN and Sxnτpx,Synτpy, then

    β((Sxn,Syn),(Sx,Sy))cn+1andβ((Syn,Sxn),(Sy,Sx))cn+1forsufficientlylargen.

    Theorem 3.15. Let (X,) be a partially ordered set induced with partial satisfactory cone metric p such that (X,E,C,p) is a θ-complete partial satisfactory cone metric space. Let T:X×XX and S:XX be such that T has S-mixed monotone property. Presume that β:X2×X2C is a symmetric mapping. Also, assume that the following assertions are fulfilled:

    (1) T is βSsequentially admissible mapping;

    (2) There exist x0,y0Xsuch that

    {β((Sx0,Sy0),(T(x0,y0),T(y0,x0)))c1,β((Sy0,Sx0),(T(y0,x0),T(x0,y0)))c1;

    (3) T(X×X)SXandSXis closed subset ofX;

    (4) (X,E,C,p)isβSsequentially regular and (X,E,C,p,) is regular;

    (5) There is a sequence of positive real numbers {kn}nN such that limnkn<1 and satisfying the following condition:

    p(T(x,y),T(u,v))kn2[p(Sx,Su)+p(Sy,Sv)]for allx,y,u,vX

    with(Sx,Sy)(Su,Sv)andβ((Sx,Sy),(Su,Sv))cn,nN. Under these conditions, if there exist x0,y0X such that Sx0T(x0,y0) and Sy0T(y0,x0), then T and S have coupled coincidence points.

    Proof. By starting from arbitrary points x0,y0X such that Sx0T(x0,y0) and Sy0T(y0,x0). Since T(X×X)SX and x0,y0X, there exist x1,y1X such that Sx1=T(x0,y0) and Sy1=T(y0,x0). Let x2,y2X be such that Sx2=T(x1,y1) and Sy2=T(y1,x1).

    Inductively, we construct the sequences {xn}nN and {yn}nN in X by

    {Sxn+1=T(xn,yn)=Tn+1(x0,y0)=T(Tn(x0,y0),Tn(y0,x0)),Syn+1=T(yn,xn)=Tn+1(y0,x0)=T(Tn(y0,x0),Tn(x0,y0))

    for allnN{0}. By Mathematical Induction, we verify that SxnSxn+1 and SynSyn+1 for all nN{0}. Given that Sx0T(x0,y0) and Sy0T(y0,x0). Thus, the statement is true for n=0. Suppose that the claim is true for some fixed n=k. That is; SxkSxk+1 and SykSyk+1. By S-mixed monotone property of T, we obtain Sxk+1Sxk+2andSyk+1Syk+2. Thus, the statement is true for n=k+1. The later lines guarantee that

    (Sxn,Syn)(Sxn+1,Syn+1)and(Syn+1,Sxn+1)(Syn,Sxn)for allnN{0}.

    Without loss of generality, we assume that (xn+1,yn+1)(xn,yn)for allnN{0}. From assumption (2), we have

    β((Sx0,Sy0),(Sx1,Sy1))=β((Sx0,Sy0),(T(x0,y0),T(y0,x0)))c1.

    Due to the fact that T is βS-sequentially admissible, it follows that

    β((T(x0,y0),T(y0,x0)),(T(x1,y1),T(y1,x1)))=β((Sx1,Sy1),(Sx2,Sy2))c2.

    By continuing this procedure, we have β((Sxn,Syn),(Sxn+1,Syn+1))cn+1 for all nN. Similarly, we obtain that β((Syn,Sxn),(Syn+1,Sxn+1))cn+1 for allnN. Now, we can apply condition (5) as follows:

    {p(Sxn,Sxn+1)kn2[p(Sxn1,Sxn)+p(Syn1,Syn)],p(Syn,Syn+1)kn2[p(Syn1,Syn)+p(Sxn1,Sxn)].

    On adding the previous two inequalities, one has

    p(Sxn,Sxn+1)+p(Syn,Syn+1)kn[p(Sxn1,Sxn)+p(Syn1,Syn)].

    Repeating the above process, we deduce

    p(Sxn,Sxn+1)+p(Syn,Syn+1)ni=1ki[p(Sx0,Sx1)+p(Sy0,Sy1)]for allnN.

    For any n,pN, we infer

    p(Sxn,Sxn+p)(PCM4)n+p1i=np(Sxi,Sxi+1)n+p1i=n[ni=1ki2]p(Sx0,Sx1)
    =[ni=1ki2][p1m=1mi=n+1ki2]p(Sx0,Sx1).

    By a similar manner, we obtain

    p(Syn,Syn+p)(PCM4)n+p1i=np(Syi,Syi+1)n+p1i=n[ni=1ki2]p(Sy0,Sy1)
    =[ni=1ki2][p1m=1mi=n+1ki2]p(Sy0,Sy1).

    Therefore, we arrive at

    p(Sxn,Sxn+p)+p(Syn,Syn+p)[ni=1ki][p1m=1mi=n+1ki][p(Sx0,Sx1)+p(Sy0,Sy1)].

    Since limnkn<1, using the usual form of the Ratio test of series, one can easily see that {mi=n[ni=1ki][p(Sx0,Sx1)+p(Sy0,Sy1)]}mN is convergent to the limit i=n[ni=1ki][p(Sx0,Sx1)+p(Sy0,Sy1)] and its n's term {ni=1ki}nN tends to zero. Therefore, for given ε>0, there exists n1N such that

    i=n[ij=1kj]<ε[p(Sx0,Sx1)+p(Sy0,Sy1)]for allnn1.

    For all nn1, we consider

    n+p1i=n[ij=1kj][p(Sx0,Sx1)+p(Sy0,Sy1)]n+p1i=n[ij=1kj][p(Sx0,Sx1)+p(Sy0,Sy1)]
    i=n[ij=1kj][p(Sx0,Sx1)+p(Sy0,Sy1)]
    i=nij=1kj[p(Sx0,Sx1)+p(Sy0,Sy1)]
    <ε.

    Thus, n+p1i=n[ij=1kj][p(Sx0,Sx1)+p(Sy0,Sy1)].θ. It follows that, for any cE with cθ, there exists n2N such that

    p(yn,yn+p)n+p1i=n[ij=1kj][p(Sx0,Sx1)+p(Sy0,Sy1)]cfor allnn2.

    Owing to the above arguments, we deduce that the sequences {Sxn}nN and {Syn}nN are θ-Cauchy in the θ-complete partial satisfactory cone metric space (X,E,C,p). Then, there exist x,yX such that Sxnτpx and Synτpy with p(x,x)=θ and p(y,y)=θ. Since {Sxn}nNSX and SX is closed, it leads that xSX. So, there must be some xX such that Sx=x. Similarly, Sy=y for some yX.

    Now, since {Sxn} is a non-decreasing sequence that converges to Sx, we get SxnSxfor alln.

    Similarly, we have SySynfor alln. That is; (Sxn,Syn)(Sx,Sy)for alln. Since (X,E,C,p,) is βSregular, we obtain

    β((Sxn,Syn),(Sx,Sy))cn+1andβ((Syn,Sxn),(Sy,Sx))cn+1.

    Since SxnτpSxandSynτpSy, then for cE with cθ and for all mN, choose n3N such that kn+12p(Sxn,Sx)c3m,kn+12p(Syn,Sy)c3m and

    For all we have

    Proceeding limit as , we get and so In such a similar way, one can easily get Therefore, we reach that is a coupled coincidence point of and is a coupled point of coincidence of

    Remark 3.16. If we replace the mapping by , the identity mapping on in the statements of Theorem (3.15), we have a new type of mappings for which we proved the existence of the coupled fixed-point of the mapping .

    In this section, we apply Theorem (3.9) with to study the existence of a unique solution for the following two-point boundary value problem of the second-order differential equation:

    (4.1)

    where is a continuous function.

    Theorem 4.1. Presume that the following hypotheses hold:

    For all is a non-decreasing function;

    If for all then we have

    There exists a continuous function such that

    for all with

    There exists such that

    There exists a symmetric function with the following properties:

    There exists such that for all we have

    For all and for any

    If in such that for all and , we have for sufficiently large

    Then, the mentioned second-order differential equation (4.1) has a unique solution in

    Proof. Clearly, the problem (4.1) is equivalent to the integral equation

    (4.2)

    where is the Green function defined by

    It is clear that the existence of a solution of (4.1) is equivalent to the existence of the integral equation (4.2).

    Let be the Banach space of all real continuous functions on the closed unit interval and which is a solid (semi-solid) cone.

    Define by

    where Then, easily one can verify that is a complete partial satisfactory cone metric space.

    We endow with the partial order given by

    Let be defined by

    Obviously, the fixed-point of is a solution of (4.1) or, equivalently; a solution of the problem (4.2).

    We will check that the mapping satisfies all the conditions of Theorem (3.9) with .

    First, we show that is non-decreasing with regards to Since is non-decreasing with respect to its second variable, then for any with and for any we have

    since for any Thus, we have

    Define by

    where and If then or Observe that If implies then by condition , we get and thus Therefore, is sequentially admissible mapping with

    Since there exists such that

    for all then

    From condition it is easy to verify that is sequentially regular.

    Now, let such that Then, we have

    $
    $

    Therefore,

    for any and for certain

    Hence, we find a constant sequence of positive real numbers for any such that and satisfying

    for any with Therefore, all the conditions of Theorem (3.9) hold with and thus has a unique fixed-point in Thus, there is a unique solution of problem (4.1).

    In this section, we study the existence of solutions for the following system of integral equations:

    (5.1)

    where and

    Theorem 5.1. Assume that the following conditions hold:

    and for all

    for some positive real number

    There exists a symmetric function with the following properties:

    For all implies

    There exist such that

    For all with and the following Lipschitzian-type conditions hold:

    If and are two sequences in such that

    and , then

    With these conditions, the system of integral equations (5.1) has at least one solution in

    Proof. Let be the Banach space of all real continuous functions on and which is a solid (semi-solid) cone. Define by

    where Then, is a complete partial satisfactory cone metric space. Suppose that is endowed with the natural partial ordered relation, that is;

    The set is partially ordered under the following ordered relation:

    For any are the upper and lower bounds of and , respectively. Therefore, for every there is that comparable to and

    Define by

    for all

    First, we show that has the mixed monotone property. If then for all we have

    Thus, Similarly, whenever

    Let be defined by

    If then

    By condition , we get and thus Therefore, is -sequentially admissible mapping with

    From condition it follows that there exist with such that and Thus, condition in Theorem (3.15) is satisfied with

    The property is sequentially regular follows trivially from the corresponding condition of the mapping

    Next, suppose that is a monotone non-decreasing sequence in that converges to a point Then, for any the sequence of real numbers

    converges to Thus, for all we have and thus for all Similarly, if is a limit of a monotone non-increasing sequence in then and thus for all Therefore, is regular.

    For all with and it follows that

    for any . Therefore, we can find a constant sequence of positive real numbers for all such that and satisfying

    for all and Which is just the contractive condition in Theorem (3.15). All the hypotheses of Theorem (3.15) with are satisfied. Therefore, has a coupled fixed-points in .

    The study of this article along with our defined distance structure represents a new research direction that included updated versions of some abstract results and some methods in fixed-point lectures. Many of the previously known results found in fixed-point theory consider direct generalizations and special occurrences of the results of this article. In the present paper, there are multiple appearances of various types of generalized admissible mappings and mappings have mixed monotone property associated with several interesting conditions. In this regard, we discussed the problem of finding coincidence points, coupled coincidence points, coupled fixed-point and fixed-points of such mappings. For showing efficiency of the obtained main results we gave some applications. In one approach, we introduced a novel fixed-point technique to ordinary differential equations in partial satisfactory cone metric spaces, and in another approach we studied the existence of solutions in a system including non-linear integral equations.

    The authors are grateful to the reviewers and the editorial board for their valuable suggestions and remarks which helped to improve the quality of current manuscript.

    All authors declare no conflicts of interest in this paper.



    [1] G. F. Newell, Nonlinear effects in the dynamics of car following, Oper. Res., 9 (1961), 209–229.
    [2] M. Bando, K. Hasebe, A. Nakayama, Y. Shibata, Y. Sugiyama, Dynamical model of traffic congestion and numerical simulation, Phys. Rev. E, 51 (1995), 1035. https://doi.org/10.1103/PhysRevE.51.1035 doi: 10.1103/PhysRevE.51.1035
    [3] D. Helbing, B. Tilch, Generalized force model of traffic dynamics, Phys. Rev. E, 58 (1998), 133. https://doi.org/10.1103/PhysRevE.58.133 doi: 10.1103/PhysRevE.58.133
    [4] R. Jiang, Q. Wu, Z. Zhu, Full velocity difference model for a car-following theory, Phys. Rev. E, 64 (2001), 017101. https://doi.org/10.1103/PhysRevE.64.017101 doi: 10.1103/PhysRevE.64.017101
    [5] S. Yu, Z. Shi, Dynamics of connected cruise control systems considering velocity changes with memory feedback, Measurement, 64 (2015), 34–48. https://doi.org/10.1016/j.measurement.2014.12.036 doi: 10.1016/j.measurement.2014.12.036
    [6] J. Chen, R. Liu, D. Ngoduy, Z. K. Shi, A new multi-anticipative car-following model with consideration of the desired following distance, Nonlinear Dyn., 85 (2016), 2705–2717. https://doi.org/10.1007/s11071-016-2856-4 doi: 10.1007/s11071-016-2856-4
    [7] C. Jiang, R. Cheng, H. Ge, An improved lattice hydrodynamic model considering the "backward looking" effect and the traffic interruption probability, Nonlinear Dyn., 91 (2018), 777–784. https://doi.org/10.1007/s11071-017-3908-0 doi: 10.1007/s11071-017-3908-0
    [8] T. Tang, H. Huang, S. Zhao, G. Xu, An extended OV model with consideration of driver's memory, Int. J. Mod. Phys. B., 23 (2009), 743–752. https://doi.org/10.1142/S0217979209051966 doi: 10.1142/S0217979209051966
    [9] D. Liu, Z. Shi, W. H. Ai, Enhanced stability of car-following model upon incorporation of short-term driving memory, Commun. Nonlinear Sci. Numer. Simul., 47 (2017), 139–150. https://doi.org/10.1016/j.cnsns.2016.11.007 doi: 10.1016/j.cnsns.2016.11.007
    [10] S. Yu, J. Tang, Q. Xin, Relative velocity difference model for the car-following theory, Nonlinear Dyn., 91 (2018), 1415–1428. https://doi.org/10.1007/s11071-017-3953-8 doi: 10.1007/s11071-017-3953-8
    [11] S. Yu, M. Huang, J. Ren, Z. Shi, An improved car-following model considering velocity fluctuation of the immediately ahead car, Physica A, 449 (2016), 1–17. https://doi.org/10.1016/j.physa.2015.12.040 doi: 10.1016/j.physa.2015.12.040
    [12] S. Yu, Z. Shi, An improved car-following model considering headway changes with memory, Physica A, 421 (2015), 1–14. https://doi.org/10.1016/j.physa.2014.11.008 doi: 10.1016/j.physa.2014.11.008
    [13] C. Chen, R. Cheng, H. Ge, An extended car-following model considering driver's sensory memory and the backward looking effect, Physica A, 525 (2019), 278–289. https://doi.org/10.1016/j.physa.2019.03.099 doi: 10.1016/j.physa.2019.03.099
    [14] Y. Wang, H. Song, R. Cheng, TDGL and mKdV equations for an extended car-following model with the consideration of driver's memory, Physica A, 515 (2019), 440–449. https://doi.org/10.1016/j.physa.2018.09.171 doi: 10.1016/j.physa.2018.09.171
    [15] R. Sipahi, F. M. Atay, S. I. Niculescu, Stability of traffic flow behavior with distributed delays modeling the memory effects of the drivers, SIAM J. Appl. Math., 68 (2008), 738–759. https://doi.org/10.1137/060673813 doi: 10.1137/060673813
    [16] Y. Chang, Z. He, R. Cheng, An extended lattice hydrodynamic model considering the driver's sensory memory and delayed-feedback control, Physica A, 514 (2008), 522–532. https://doi.org/10.1016/j.physa.2018.09.097 doi: 10.1016/j.physa.2018.09.097
    [17] Y. Sun, H. Ge, R. Cheng, An extended car-following model considering driver's memory and average speed of preceding vehicles with control strategy, Physica A, 521 (2019), 752–761. https://doi.org/10.1016/j.physa.2019.01.092 doi: 10.1016/j.physa.2019.01.092
    [18] Z. Xin, J. Xu, Analysis of a car-following model with driver memory effect, Int. J. Bifurcation Chaos, 25 (2015), 1550057. https://doi.org/10.1142/S0218127415500571 doi: 10.1142/S0218127415500571
    [19] C. Zhai, W. Wu, A new continuum model with driver's continuous sensory memory and preceding vehicle's taillight, Commun. Theor. Phys., 72 (2020), 105004.
    [20] M. Zhou, X. Qu, X. Li, A recurrent neural network based microscopic car following model to predict traffic oscillation, Transp. Res. Part C Emerging Technol., 84 (2017), 245–264. https://doi.org/10.1016/j.trc.2017.08.027 doi: 10.1016/j.trc.2017.08.027
    [21] X. Pei, Y. Pan, H. Wang, S. Wong, K. Choi, Empirical evidence and stability analysis of the linear car-following model with gamma-distributed memory effect, Physica A, 449 (2016), 311–323. https://doi.org/10.1016/j.physa.2015.12.104 doi: 10.1016/j.physa.2015.12.104
    [22] R. Sipahi, F. M. Atay, S. I. Niculescu, Stability of traffic flow behavior with distributed delays modeling the memory effects of the drivers, SIAM J. Appl. Math., 68 (2008), 738–759. https://doi.org/10.1137/060673813 doi: 10.1137/060673813
    [23] M. A. Hossain, J. Tanimoto, The "backward-looking" effect in the continuum model considering a new backward equilibrium velocity function, Nonlinear Dyn., 106 (2021), 2061–2072. https://doi.org/10.1007/s11071-021-06894-2 doi: 10.1007/s11071-021-06894-2
    [24] D. Jia, D. Ngoduy, Enhanced cooperative car-following traffic model with the combination of V2V and V2I communication, Transp. Res. Part B Methodol., 90 (2016), 172–191. https://doi.org/10.1016/j.trb.2016.03.008 doi: 10.1016/j.trb.2016.03.008
    [25] J. Xiao, M. Ma, S. Liang, G. Ma, The non-lane-discipline-based car-following model considering forward and backward vehicle information under connected environment, Nonlinear Dyn., 107 (2022), 2787–2801. https://doi.org/10.1007/s11071-021-06999-8 doi: 10.1007/s11071-021-06999-8
    [26] D. Ngoduy, Analytical studies on the instabilities of heterogeneous intelligent traffic flow, Commun. Nonlinear Sci. Numer. Simul., 18 (2013), 2699–2706. https://doi.org/10.1016/j.cnsns.2013.02.018 doi: 10.1016/j.cnsns.2013.02.018
    [27] J. Larsson, M. F. Keskin, B. Peng, B. Kulcsár, H. Wymeersch, Pro-social control of connected automated vehicles in mixed-autonomy multi-lane highway traffic, Commun. Transp. Res., 1 (2021), 100019. https://doi.org/10.1016/j.commtr.2021.100019 doi: 10.1016/j.commtr.2021.100019
    [28] Y. Li, W. Chen, S. Peeta, Y. Wang, Platoon control of connected multi-vehicle systems under V2X communications: design and experiments, IEEE Trans. Intell. Transp. Syst., 21 (2019), 1891–1902.
    [29] D. Ngoduy, Effect of the car-following combinations on the instability of heterogeneous traffic flow, Transportmetrica B Transport Dyn., 3 (2015), 44–58. https://doi.org/10.1080/21680566.2014.960503 doi: 10.1080/21680566.2014.960503
    [30] B. Wang, T. M. Adams, W. Jin, Q. Meng, The process of information propagation in a traffic stream with a general vehicle headway: A revisit, Transp. Res. Part C Emerging Technol., 18 (2010), 367–375. https://doi.org/10.1016/j.trc.2009.05.011 doi: 10.1016/j.trc.2009.05.011
    [31] X. Wang, Modeling the process of information relay through inter-vehicle communication, Transp. Res. Part B Methodol., 41 (2007), 684–700. https://doi.org/10.1016/j.trb.2006.11.002 doi: 10.1016/j.trb.2006.11.002
    [32] W. Jin, W. W. Recker, Instantaneous information propagation in a traffic stream through inter-vehicle communication, Transp. Res. Part B Methodol., 40 (2006), 230–250. https://doi.org/10.1016/j.trb.2005.04.001 doi: 10.1016/j.trb.2005.04.001
    [33] A. Kesting, M. Treiber, D. Helbing, Enhanced intelligent driver model to access the impact of driving strategies on traffic capacity, Philos. Trans. R. Soc. A Math. Phys. Eng. Sci., 368 (2010), 4585–4605. https://doi.org/10.1098/rsta.2010.0084 doi: 10.1098/rsta.2010.0084
    [34] Y. Li, L. Zhang, S. Peeta, X. He, T. Zheng, Y. Li, A car-following model considering the effect of electronic throttle opening angle under connected environment, Nonlinear Dyn., 85 (2016), 2115–2125. https://doi.org/10.1007/s11071-016-2817-y doi: 10.1007/s11071-016-2817-y
    [35] J. Wu, X. Qu, Intersection control with connected and automated vehicles: a review, J. Intell. and Connected Veh., 5 (2022), 260–269. https://doi.org/10.1108/JICV-06-2022-0023 doi: 10.1108/JICV-06-2022-0023
    [36] T. Olovsson, T. Svensson, J. Wu, Future connected vehicles: Communications demands, privacy and cyber-security, Commun. Transp. Res., 2 (2022), 100056. https://doi.org/10.1016/j.commtr.2022.100056 doi: 10.1016/j.commtr.2022.100056
    [37] K. L. Lim, J. Whitehead, D. Jia, Z. Zheng, State of data platforms for connected vehicles and infrastructures, Commun. Transp. Res., 1 (2021), 10001. https://doi.org/10.1016/j.commtr.2021.100013 doi: 10.1016/j.commtr.2021.100013
    [38] D. Ngoduy, S. Lee, M. Treiber, H. Vu, Langevin method for a continuous stochastic car-following model and its stability conditions, Transp. Res. Part C Emerging Technol., 105 (2019), 599–610. https://doi.org/10.1016/j.trc.2019.06.005 doi: 10.1016/j.trc.2019.06.005
    [39] R. Jiang, M. Hu, H. Zhang, Z. Gao, B. Jia, Q. Wu, et al., Traffic experiment reveals the nature of car-following, PloS One., 9 (2014), 94351. https://doi.org/10.1371/journal.pone.0094351 doi: 10.1371/journal.pone.0094351
    [40] R. Jiang, M. Hu, H. Zhang, Z. Gao, B. Jia, Q. Wu, On some experimental features of car-following behavior and how to model them, Transp. Res. Part B Methodol., 80 (2015), 338–354. https://doi.org/10.1016/j.trb.2015.08.003 doi: 10.1016/j.trb.2015.08.003
    [41] R. Jiang, C. Jin, H. Zhang, Y. Huang, J. Tian, W. Wang, et al., Experimental and empirical investigations of traffic flow instability, Transp. Res. Part C Emerging Technol., 94 (2018), 83–98. https://doi.org/10.1016/j.trc.2017.08.024 doi: 10.1016/j.trc.2017.08.024
    [42] J. Tian, R. Jiang, B. Jia, Z. Gao, S. Ma, Empirical analysis and simulation of the concave growth pattern of traffic oscillations, Transp. Res. Part B Methodol., 93 (2016), 338–354. https://doi.org/10.1016/j.trb.2016.08.001 doi: 10.1016/j.trb.2016.08.001
    [43] J. Tian, H. Zhang, M. Treiber, R. Jiang, Z. Gao, B. Jia, On the role of speed adaptation and spacing indifference in traffic instability: Evidence from car-following experiments and its stochastic model, Transp. Res. Part B Methodol., 129 (2019), 334–350. https://doi.org/10.1016/j.trb.2019.09.014 doi: 10.1016/j.trb.2019.09.014
    [44] F. Zheng, S. E. Jabari, H. Liu, D. Liu, Traffic state estimation using stochastic Lagrangian dynamics, Transp. Res. Part B Methodol., 115 (2018), 143–165. https://doi.org/10.1016/j.trb.2018.07.004 doi: 10.1016/j.trb.2018.07.004
    [45] J. A. Laval, C. S. Toth, Y. Zhou, A parsimonious model for the formation of oscillations in car-following models, Transp. Res. Part B Methodol., 70 (2014), 228–238. https://doi.org/10.1016/j.trb.2014.09.004 doi: 10.1016/j.trb.2014.09.004
    [46] K. Yuan, J. Laval, V. L. Knoop, R. Jiang, S. P. Hoogendoorn, A geometric Brownian motion car-following model: towards a better understanding of capacity drop, Transportmetrica B Transport Dyn., 21 (2018), 915–927. https://doi.org/10.1080/21680566.2018.1518169 doi: 10.1080/21680566.2018.1518169
    [47] J. Tian, C. Zhu, D. Chen, R. Jiang, G. Wang, Z. Gao, Car following behavioral stochasticity analysis and modeling: Perspective from wave travel time, Transp. Res. Part B Methodol., 143 (2021), 160–176. https://doi.org/10.1016/j.trb.2020.11.008 doi: 10.1016/j.trb.2020.11.008
    [48] D. Ngoduy, Noise-induced instability of a class of stochastic higher order continuum traffic models, Transp. Res. Part B Methodol., 150 (2021), 260–278. https://doi.org/10.1016/j.trb.2021.06.013 doi: 10.1016/j.trb.2021.06.013
    [49] P. Lin, X. Liu, M. Pei, P. Wu, Revealing the spatial variation in vehicle travel time with weather and driver travel frequency impacts: Findings from the Guangdong-Hong Kong-Macao Greater Bay Area, China, Electron. Res. Arch., 30 (2022), 3711–3734. https://doi.org/10.3934/era.2022190 doi: 10.3934/era.2022190
    [50] P. Wagner, A time-discrete harmonic oscillator model of human car-following, Eur. Phys. J. B, 84 (2011), 713–718. https://doi.org/10.1140/epjb/e2011-20722-8 doi: 10.1140/epjb/e2011-20722-8
    [51] P. Wagner, Analyzing fluctuations in car-following, Transp. Res. Part B Methodol., 46 (2012), 1384–1392. https://doi.org/10.1016/j.trb.2012.06.007 doi: 10.1016/j.trb.2012.06.007
    [52] M. Makridis, L. Leclercq, B. Ciuffo, G. Fontaras, K. Mattas, Formalizing the heterogeneity of the vehicle-driver system to reproduce traffic oscillations, Transp. Res. Part C Emerging Technol., 120 (2020), 102803. https://doi.org/10.1016/j.trc.2020.102803 doi: 10.1016/j.trc.2020.102803
    [53] J. Wen, C. Wu, R. Zhang, X. Xiao, N. Nv Y. Shi, Rear-end collision warning of connected automated vehicles based on a novel stochastic local multivehicle optimal velocity model, Accid. Anal. Prev., 148 (2020), 105800. https://doi.org/10.1016/j.aap.2020.105800 doi: 10.1016/j.aap.2020.105800
    [54] X. Mao, Stochastic Differential Equations and Applications, Horwood, Chichester, 2008.
    [55] R. Ortega, Variations on Lyapunov's stability criterion and periodic prey-predator systems, Electron. Res. Arch., 29 (2021), 3995. https://doi.org/10.3934/era.2021069 doi: 10.3934/era.2021069
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