Traffic Safety of Highways and Urban Roads: Multisource Analytics, Dynamic Prediction, and Coordinated Control
A special issue of Urban Science (ISSN 2413-8851). This special issue belongs to the section "Urban Mobility and Transportation".
Deadline for manuscript submissions: 31 May 2027 | Viewed by 767
Editors
Interests: intelligent connected traffic safety; integrated air–ground traffic management; autonomous driving safety testing
Interests: traffic safety; traffic big data analysis; driving behavior analysis; intelligent transportation
Special Issues, Collections and Topics in MDPI journals
Interests: transportation safety analysis and proactive risk assessment; intelligent traffic signal optimization; CAV–pedestrian interaction policy and behavioural safety; trajectory planning and motion control for autonomous vehicles
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Traffic safety on highways and urban roads is a critical issue in the context of rapid urbanization, growing travel demand, and the increasing deployment of intelligent transportation systems. The availability of multisource data, such as crash records, traffic flow data, vehicle trajectories, roadside sensing data, connected vehicle data, and environmental information, has created new opportunities for understanding traffic risk, predicting unsafe conditions, and supporting proactive safety management. As urban and peri-urban road systems become more complex, there is a growing need for advanced analytical, predictive, and control approaches to improve safety and operational sustainability.
This Special Issue aims to provide an interdisciplinary platform for research on multisource analytics, dynamic prediction, and coordinated control for traffic safety on highways and urban roads. This topic is closely related to the scope of Urban Science, as safe and efficient transport systems are essential to sustainable urban development, resilient mobility, and intelligent infrastructure management.
In this Special Issue, original research articles and reviews are welcome. Research areas may include, but are not limited to, the following:
- Urban traffic crash and conflict analysis;
- Multisource data fusion for urban safety assessment;
- Dynamic traffic risk prediction and early warning;
- Surrogate safety measures;
- Connected and automated vehicle safety;
- Cooperative vehicle infrastructure systems;
- Intelligent urban traffic control and transit priority;
- Variable speed limit and active urban traffic management;
- Urban road safety under mixed traffic conditions;
- Sustainable traffic operations.
We look forward to receiving your contributions.
Dr. Jieling Jin
Dr. Qiang Luo
Dr. Fangrong Chang
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Urban Science is an international peer-reviewed open access monthly 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 1800 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
- urban traffic safety
- urban mobility
- urban highways
- urban roads
- multisource data
- risk prediction
- coordinated control
- connected and automated vehicles
- intelligent transportation systems
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