Manuscript Topics

In recent years, technological progress has triggered a notable transformation in the realms of intelligent vehicles, transportation, and logistics. This surge of innovation has been energized by a multitude of cutting-edge technologies, including artificial intelligence (AI) for enhanced decision-making, autonomous systems driving the era of self-driving vehicles, data analytics offering both predictive and prescriptive insights, advanced sensor technologies facilitating real-time data collection, and cloud computing enabling seamless connectivity, among others. These technologies have shattered the limitations of conventional methods, propelling us toward uncharted horizons in the field of transportation and logistics.

Concurrently, we've borne witness to the extraordinary development of novel vehicles, exemplified by the rapid ascent of electric vehicles (EVs) as sustainable alternatives to traditional automobiles. In parallel, the emergence of autonomous vehicles (AVs) and electric vertical takeoff and landing (eVTOL) aircraft has ignited our imagination with the promise of reshaping personal and commercial transportation.

Simultaneously, disruptive forces such as ride-sharing services and micro-mobility solutions have introduced fresh paradigms for urban travel, seamlessly integrating on-demand mobility into our daily lives. Additionally, the landscape of transportation and logistics is further enriched by the concept of ground-air cooperation. This innovative approach envisions the harmonious collaboration between ground-based transportation and aerial systems to optimize the flow of goods and passengers. It holds the potential to revolutionize the way we think about cargo movement, offering efficient, swift, and environmentally conscious solutions for the logistics industry. Complementing these advancements, state-of-the-art algorithms have assumed a pivotal role, optimizing and enhancing the efficiency of our transportation and logistics systems.

These interwoven innovations are charting a future where intelligent vehicles, versatile travel modes, and cutting-edge algorithms converge to redefine transportation and logistics. This special issue is dedicated to capturing this ever-evolving landscape, presenting novel insights and solutions that bridge existing gaps and propel us toward transformed transportation and logistics systems. The scope of this special issue encompasses a wide range of topics, including but not limited to:

Intelligent vehicles, such as EVs, AVs, eVTOL
• Urban mobilities, such as ridesharing, on-demand transportation services
• Intelligent logistics, such as ground-air cooperation, last-mile delivery innovations
• Mathematical model and algorithms for transportation and logistics
• Optimization in transportation and logistics
• Data analytics in transportation and logistics
• Artificial Intelligence in transportation and logistics
• Decision-making in transportation and logistics

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