Optimization and Simulation Techniques for Transportation
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Transportation and Future Mobility".
Deadline for manuscript submissions: 10 March 2025 | Viewed by 17875
Special Issue Editors
Interests: traffic information mining; road information updating; moving computing; trajectory data-driven techniques; change detection
Special Issue Information
Dear Colleagues,
Transportation techniques play an important role in the daily lives of humans. In the era of big data, with the development of artificial intelligence technology and big data, optimization and simulation techniques for transportation should go deep into the following aspects: first, AI techniques used in transportation simulation, including road traffic simulation by considering traffic lights and historical traffic information, pedestrian moving simulation based on pedestrian moving behavior and the surrounding environment, and human–car interaction simulation, especially for shared places of vehicles and humans, etc.; second, transportation information mining based on data-driven techniques, including traffic predication, travel mode detection, and road network refining, especially for detailed road information, such as lane-level road information or pedestrian road containing semantic attribute information such as road type, slop, topology, etc.; and third, the function structure optimization of traffic space, which should be linked to space heat estimation, space utilization, and so on.
Dr. Xue Yang
Prof. Dr. Luliang Tang
Guest Editors
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Keywords
- artificial intelligence technology
- big data
- moving computing
- road traffic prediction and simulation
- human–car interaction simulation
- pedestrian moving simulation
- traffic light
- detailed road information
- traffic space optimization
- traffic space heat estimation
- traffic space utilization
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