Traffic Emergency: Forecasting, Control and Planning
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Transportation and Future Mobility".
Deadline for manuscript submissions: 20 July 2024 | Viewed by 130
Special Issue Editors
Interests: rehabilitation robotics; control systems engineering; transportation; intelligent transport systems; deep learning
Interests: urban big data; multi-source heterogeneous data fusion; machine learning; federated learning
Special Issues, Collections and Topics in MDPI journals
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
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
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
