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Modeling and Control of Mixed Traffic Flow with Connected Automated Vehicle

A special issue of Sensors (ISSN 1424-8220).

Deadline for manuscript submissions: 31 May 2025 | Viewed by 99

Special Issue Editor


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Guest Editor
School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 611756, China
Interests: traffic signal control; connected automated vehicles; traffic flow theory; traffic simulation; machine learning; trajectory predictions
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Connected automated vehicles (CAVs), as a product combining the automobile industry and emerging technologies, have developed rapidly worldwide in recent years. Compared with human-driven vehicles (HDVs), CAVs can perceive the environment more accurately and realize coordinated control. Therefore, the application of CAVs can significantly improve the efficiency of the transportation system. Before the middle of the 21st century, the number of CAVs will exceed 70% of global car ownership based on the latest research of the Institute of Electronics Engineers (IEEE). This means that there will be mixed driving on the road of HDVs and CAVs for a long time in the future. Compared with the original traffic flow, the mixed traffic flow can reduce the traffic safety risk, improve the road capacity, and improve the stability of the traffic flow when the proportion of CAVs reaches a certain range. Therefore, this Special Issue is devoted to studying the characteristics of new mixed traffic flow, and on this basis, the mixed traffic flow model and control optimization method are discussed. This Special Issue aims to bring together original research articles and review articles highlighting any aspect of the modeling and control of mixed traffic flow with connected automated vehicles (CAVs). Potential topics include but are not limited to the following: a review of mixed traffic flow models; the car following and lane changing model of CAVs; new theory and method of CAVs; traffic flow management, control, and optimization of CAV traffic flow; simulation method of CAV traffic flow; safety analysis of CAV traffic flow; fuel consumption and emission of CAV traffic flow.

Dr. Zhihong Yao
Guest Editor

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Keywords

  • connected automated vehicles (CAVs)
  • modeling
  • traffic flow

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Published Papers

This special issue is now open for submission.
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