Modeling for Intelligent Vehicles

Dear Colleagues,

Intelligent vehicles incorporating advanced V2X technologies, leveraging sophisticated data analytics and algorithms, have significant potential to mitigate traffic accidents, enhance societal well-being, and optimize the operational efficiency of transportation networks. Future directions of intelligent vehicles may encompass advancements in autonomous driving, enhanced connectivity/interaction, and integration of AI to enhance various aspects of mobility.

With increasing automation and connectivity, intelligent vehicles require more advanced decision-making and motion planning schemes, environment perceptions, and cooperative control methods to operate in challenging traffic scenarios. Especially in dense road traffic, signalized intersections, highway ramps, tunnels, parking, etc., modeling for intelligent vehicles is crucial to maintain a certain level of their performance while guaranteeing safety at the same time.

Moreover, intelligent vehicle fields gradually adopt end-to-end algorithm frameworks that leverage raw sensor data to formulate vehicle motion strategies. These move beyond traditional focuses on isolated tasks like detection and motion prediction. End-to-end systems, as opposed to modular pipelines, offer advantages through integrated feature optimization across perception and planning domains and also bring opportunities and challenges in modeling for intelligent vehicles.

The main aim of this Special Issue is to seek high-quality submissions highlighting recent breakthroughs in intelligent vehicle technologies and applications, including autonomous vehicle behaviors, perceptions, motion plannings, cooperative controls, connected technologies, end-to-end systems, etc.

Potential topics include but are not limited to the following categories:

• Perception models integrating sensor data;
• Prediction- and optimization-based planning and control;
• Control Strategies for hybrid-driving traffic flow;
• Simulation and validation frameworks for intelligent vehicle systems;
• Machine learning and AI applications in vehicle modeling;
• Safety, reliability, and robustness of modeling approaches;
• Case studies and real-world applications of intelligent vehicle modeling;
• Traffic management for intelligent vehicles;
• End-to-end autonomous driving.

Dr. Weike Lu
Dr. Zhihong Yao
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. World Electric Vehicle Journal is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• autonomous vehicle behaviors
• perceptions
• trajectory prediction and planning
• cooperative con-trols
• connected technologies
• end-to-end systems