New Trends and Technologies for Safe, Green, Low-Carbon and Sustainable Traffic Systems
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Transportation".
Deadline for manuscript submissions: closed (1 October 2024) | Viewed by 3930
Special Issue Editors
Interests: traffic perception; intelligent transportation systems; emergency traffic management, optimization, and simulation; traffic data analysis and visualization
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent traffic navigation and location; intelligent transportation systems; traffic behavior analysis; traffic safety evaluation and prevention
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Today, more than ever before, the traffic system is facing many challenges and opportunities due to socioeconomic changes and technological innovation. The increasing demand for safety, mobility, and environmental protection requires innovative solutions that can enhance the efficiency, reliability, and sustainability of the system. New trends and technologies for safe, green, low-carbon, and sustainable road traffic systems are emerging to address these issues, such as electric vehicles (EVs), autonomous vehicles (AVs), mobility as a service (MaaS), vehicle-to-everything (V2X). These advancements can contribute to a safer, greener, low-carbon, and sustainable traffic system.
This Special Issue will highlight new opportunities and challenges for sustainable transportation, focusing on improving and evaluating the safety, greenness, low-carbonization, and sustainability of traffic systems. Topics of interest include, but are not limited to: (1) charging optimization and energy management for electric vehicles; (2) competition, coordination, and cooperation between connected autonomous vehicles and human-driven vehicles in mixed traffic flow; (3) data-driven traffic management, optimization, and simulation; (4) mobility as a service (MaaS); (5) traffic accident prediction and prevention; and (6) innovative mobility services.
We look forward to receiving your contributions.
Dr. Ciyun Lin
Dr. Bowen Gong
Dr. Hui Liu
Guest Editors
Manuscript Submission Information
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Keywords
- traffic management and control
- traffic modeling and simulation
- mobility as a service
- data-driven methodologies
- big data analytics
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