Traffic Emergency: Forecasting, Control and Planning
This special issue belongs to the section "Transportation and Future Mobility".
Special Issue Information
Dear Colleagues,
Traffic emergencies are suscept to regular transportation systems, which increase complexity, posing challenges in terms of efficiency and safety. The surge in vehicle volume coupled with the rise in the frequency and intensity of traffic accidents have heightened the need for comprehensive strategies to forecast, control, and plan for traffic emergencies.
Traditional systems struggle with dynamic emergencies, leading to prolonged disruptions and safety compromises. Innovative solutions using advanced technologies, data analytics, and interdisciplinary approaches are in demand to enhance responsiveness. Emerging technologies like connected and automatic vehicles and real-time data analytics provide opportunities to revolutionize traffic emergency responses. They offer new tools for prediction, control, and effective communication, ensuring timely information dissemination.
This Special Issue aims to highlight new opportunities and challenges for traffic emergency issues and explore innovative methodologies, as well as practical solutions, focusing on improving traffic performance under emergencies with traffic forecasting, control, and planning.
Prof. Dr. Ping Wang
Dr. Linlin You
Guest Editors
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Keywords
- emergency responses
- traffic evacuation
- traffic predictive modeling
- emergency traffic management and control
- emergency resource dispatch and optimization
- rescue vehicle route planning
- automated and connected vehicles
- data analytics
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Published Papers
Appl. Sci. - ISSN 2076-3417