Multi-Modal Electric Vehicle Transportation Network Modeling

Dear Colleagues,

The construction and optimization of electric vehicle (EV) transportation networks are intrinsically linked to sustainable development and efficiency enhancement objectives. The effective design and optimization of EV transportation networks can significantly mitigate travel-related pollution, alleviate traffic congestion, conserve fuel and energy resources, and enhance both the operational efficiency of transportation systems and land utilization. Recent years have seen a proliferation of electric vehicles on ride-hailing platforms. To optimize routing for electric ride-hailing services, enhance operational efficiencies, and improve charging effectiveness, the development of a well-structured electric ride-hailing traffic network is essential. Furthermore, as the proportion of electric buses increases annually, challenges related to dispatching and charging within public transportation systems have emerged as critical areas of focus. This necessitates thorough investigation into the strategic planning and site selection for charging infrastructure, the scheduling and routing of electric buses, and the deployment of multifunctional buses for passenger services.

The primary objective of this Special Issue, "Multi-Modal Electric Vehicle Transportation Network Modeling", is to examine the current status and future trajectories of EV transportation network modeling and optimization from a variety of perspectives. This includes route optimization for electric vehicles, the strategic siting of electric charging stations, and associated challenges concerning electric buses. Submissions to this Special Issue may encompass an array of methodologies, including deep learning, reinforcement learning, heuristic algorithms, mathematical modeling, and both qualitative and quantitative analyses. Research contributions addressing the following topics are particularly encouraged:

• Multi-modal transportation network modeling for electric vehicles, including electric unmanned aerial vehicles (UAV), private vehicles, and public transit vehicles (buses, subways, and railways);
• Application of reinforcement learning in electric vehicle transportation networks;
• Electric vehicle charging station location and network optimization;
• Coordination strategies for hybrid transport networks of electric vehicles and conventional vehicles;
• Energy management and optimization in electric vehicle routing;
• Environmental impact analysis of electric vehicle transportation networks;
• Application of big data in electric vehicle transportation networks;
• Safety and route planning of electric vehicles;
• User behavior analysis of electric vehicles in transportation networks;
• Optimization of electric bus dispatching and scheduling strategies;
• Site selection and optimization of electric bus charging facilities.

Dr. Jie Ma
Dr. Jingxu Chen
Dr. Xinlian Yu
Guest Editors

Manuscript Submission Information

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• electric vehicle
• transportation network
• multi-modal transportation modeling
• route optimization
• charging station location
• dispatching and scheduling strategy