Symmetry in Intelligent Transportation System
A Special Issue of Symmetry (ISSN 2073-8994) belonging to the section "A: Computer Science".
Deadline for manuscript submissions: 31 March 2027 | Viewed by 63
Editors
Interests: intelligent railway perception; catenary condition monitoring; UAV inspection; LiDAR point clouds; multimodal data fusion; railway infrastructure diagnosis; rail-wheel defect detection; bearing fault diagnosis; remaining useful life prediction; reinforcement learning control
Special Issues, Collections and Topics in MDPI journals
Interests: railway systems; high-fidelity intelligent dynamics modelling; pantograph-catenary systems; intelligent condition monitoring; smart operation and maintenance
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; computer vision; robotics; intelligent sensing; genetic computing; deep learning; cross-modal perception; smart infrastructure; transportation robotics; intelligent diagnosis
Interests: AI-driven power electronics; intelligent transportation electrification; railway vehicle-grid systems; data-driven impedance modeling and stability analysis; fault diagnosis; resilient control; energy storage systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Intelligent transportation systems are becoming increasingly sensorized, connected, and data-driven. With the rapid development of artificial intelligence, machine vision, multimodal sensing, digital twins, and intelligent decision-making, new opportunities are emerging for transportation infrastructure monitoring, equipment fault diagnosis, traffic perception, operation optimization, and safety management. The concept of symmetry is highly relevant to intelligent transportation systems, including spatial–temporal symmetry in traffic flow, structural symmetry and asymmetry in infrastructure health monitoring, data distribution shifts across operating conditions, and balanced decision-making in safety-critical transportation scenarios.
This Special Issue aims to collect recent advances in AI-enabled intelligent transportation systems, with particular attention to perception, diagnosis, prediction, control, and decision-making. Topics of interest include, but are not limited to, intelligent perception for railway, road, bridge, tunnel, and urban transit systems; machine-vision-based defect detection; multimodal sensing and data fusion; fault diagnosis and remaining useful life prediction for transportation equipment; pantograph–catenary system monitoring; wheel–rail and track defect analysis; digital twins for smart transportation infrastructure; explainable and trustworthy AI; robust cross-domain diagnosis; edge intelligence; and reinforcement-learning-based control and maintenance decision-making.
Original research articles and review papers are welcome. We particularly encourage submissions supported by real-world data, field validation, open benchmarks, interpretable models, and engineering deployment evidence.
Dr. Haonan Yang
Dr. Jingke Yan
Dr. Hui Wang
Dr. Xiangyu Meng
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. Symmetry 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
- artificial intelligence
- intelligent transportation systems
- symmetry
- intelligent perception
- fault diagnosis
- multimodal sensing
- transportation infrastructure
- digital twins
- remaining useful life prediction
- explainable AI
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
