Trajectory Precise Perception of Traffic Targets and Its Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 30 September 2025 | Viewed by 159
Special Issue Editors
2. National Engineering Research Center for Water Transport Safety, Wuhan University of Technology, Wuhan 430063, China
Interests: traffic safety; driving behaviors; intelligent and connected transportation; vehicle trajectory; simulated driving
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent vehicles and driver assistance; traffic information and safety; vehicle-to-infrastructure cooperation and safety control; traffic simulation and data mining; new energy vehicles
Special Issues, Collections and Topics in MDPI journals
2. Engineering Research Center of Transportation Information and Safety, Ministry of Education, Wuhan 430063, China
Interests: traffic safety; connected and automated vehicle; intelligent transportation system; big data analytics and statistics
Special Issue Information
Dear Colleagues,
Advancements in intelligent in-vehicle and roadside perception technologies have made it possible to acquire detailed perceptual information about target vehicles and surrounding environments. This information includes operational data, motion trajectories, and vehicle-to-vehicle (V2V) interaction data. Such insights can be leveraged to explore drivers' cognitive mechanisms, analyze factors influencing traffic conflict risks, and predict traffic flow dynamics, offering significant practical potential. However, several technical challenges still need to be addressed.
This Special Issue will focus on key theoretical and methodological breakthroughs, including trajectory extraction under occlusion conditions, high-quality perception through multi-sensor fusion, extracting accurate trajectories to identify critical traffic state variables, and predicting and evaluating traffic performance. These developments will provide essential guidance for advancing smart road infrastructure, proactive traffic management strategies, and policy formulation, ultimately contributing to safer, more efficient, and sustainable transportation systems.
Prof. Dr. Nengchao Lyu
Dr. Ronghui Zhang
Dr. Li Song
Dr. Hongliang Wan
Guest Editors
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Keywords
- roadside sensor
- in-vehicle sensor
- vehicle trajectories
- multi-sensor fusion
- state identification
- proactive traffic management
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