AI-Driven Transportation Systems: Innovations, Challenges, and Future Mobility
A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Artificial Intelligence and Digital Systems Engineering".
Deadline for manuscript submissions: 20 November 2025 | Viewed by 488
Special Issue Editors
Interests: autonomous driving; traffic demand forecasting; mixed traffic flow modelling and simulation; traffic state estimation; multimodal vehicle trajectory; deep learning
Interests: transportation big data analysis; autonomous driving simulation model; parking planning and design; transportation and energy integration; emergency logistics; transportation safety analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The integration of artificial intelligence (AI) into transportation systems has revolutionized the development of next-generation vehicles and mobility ecosystems. This Special Issue focuses on cutting-edge research leveraging AI to enhance the safety, efficiency, and sustainability of transportation systems. Topics include autonomous driving algorithms, AI-optimized traffic flow prediction, human–machine interactions in intelligent vehicles, energy management for electric/hybrid vehicles, digital healthcare engineering (DHE), and AI-enabled predictive maintenance for transport infrastructure. Emerging challenges such as edge computing for real-time decision-making, explainable AI in safety-critical scenarios, and the ethical implications of AI-driven mobility will also be explored. Submissions are encouraged to address multimodal transportation integration, including aerial drones, maritime vessels, and hyperloop systems, with an emphasis on system-level interoperability. Additionally, we welcome studies on digital twin frameworks, federated learning for distributed transportation networks, and AI applications in reducing carbon footprints. This Issue aims to bridge theoretical advancements with practical implementations, fostering discussions on regulatory frameworks and the societal acceptance of AI-powered transportation.
Prof. Dr. Rongjun Cheng
Dr. Xiaofei Ye
Dr. Cong Zhai
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 100 words) can be sent to the Editorial Office for announcement on this website.
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
- intelligent transportation systems
- trajectory prediction
- ship performance calculation and ship path planning
- crew health system
- traffic accident reconstruction
- digital twin technology
- deep learning
- intelligent parking systems
- transportation and energy integration emergency logistics
- application of large language models in the transportation field
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