Autonomous Traffic Management and Control Systems
A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Systems Engineering".
Deadline for manuscript submissions: 1 December 2026 | Viewed by 20
Special Issue Editors
Interests: data-driven optimization of traffic management and control; human–computer interaction in intelligent transportation systems; artificial intelligence and transportation
Special Issues, Collections and Topics in MDPI journals
Interests: autonomous traffic management and control systems; AI-based traffic management optimization
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue, "Autonomous Traffic Management and Control Systems", aims to showcase cutting-edge theories, methods, and applications that advance the autonomy of urban traffic management and control systems. The rapid deployment of connected and automated vehicles, multi-source sensing infrastructures, V2X communication, and digital twin platforms is driving a paradigm shift—from rule-based, human-supervised operations toward data-driven, self-adaptive, and cooperative autonomy.
We invite submissions of original research and comprehensive reviews on key enabling technologies, including but not limited to:
- Multi-source perception and fusion for network-wide traffic state estimation.
- Autonomous signal control and lane management based on artificial intelligence and reinforcement learning.
- Digital twin-driven evaluation, diagnosis, optimization, and closed-loop frameworks.
- Human–machine collaboration mechanisms in traffic control centers.
- Interoperable architectures and standards for autonomous traffic management.
- Large-scale simulation, testing, and verification approaches for safety, robustness, and explainability.
We particularly encourage contributions that bridge theory and real-world deployment, demonstrate measurable operational benefits, or reveal new insights into scalable and trustworthy autonomous traffic control.
Prof. Dr. Keshuang Tang
Dr. Hong Zhu
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-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Systems 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 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
- autonomous traffic management
- digital twin–driven control
- multi-source traffic sensing and fusion
- reinforcement learning–based signal control
- autonomous transportation system
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