Artificial Intelligence in Sustainable Transportation
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Transportation".
Deadline for manuscript submissions: 6 March 2025 | Viewed by 67
Special Issue Editors
Interests: artificial intelligence; low-carbon transportation
Special Issues, Collections and Topics in MDPI journals
2. PICS-L Lab, COSYS Department, Université Gustave Eiffel, 25 allée des Marronnier 78000 Versailles, France
3. The International Associated Lab ICCAM (France-Australia), Université Gustave Eiffel, 25 allée des Marronnier 78000 Versailles, France
Interests: automated driving; multisensor data fusion; cooperative systems; environment perception; extended perception; sensors simulation for ADAS prototyping
Special Issues, Collections and Topics in MDPI journals
Interests: data-driven optimization of traffic management and control; shared mobility; green travel
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) has emerged as a transformative technology, poised to revolutionize the transportation sector via optimizing systems, reducing emissions, and enhancing the overall travel experience. AI-powered solutions hold immense potential to revolutionize the landscape of sustainable transportation, thus enabling innovative strategies and technologies that can drive the transition towards a greener, more efficient, and environmentally responsible mobility ecosystem. This Special Issue aims to explore the development and implementation of AI-driven solutions to reduce environmental impacts, improve traffic efficiency, and enhance the overall sustainability of transportation systems.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- AI and Big data applications in the sustainable transportation.
- AI applications for traffic management and optimization
- AI-powered optimization of the shared mobility service.
- AI applications in freight transportation.
- AI-based solutions for multi-modal transportation integration and optimization.
- AI-based optimization of new energy vehicle operations and charging infrastructure.
- AI-assisted pollutant emissions reduction strategies for transportation systems.
- AI-based perception from infrastructure
- Cooperative energy management and optimization for new mobility means.
- AI-based traffic accident causal analysis.
- Connected and autonomous vehicles for green transportation
We look forward to receiving your contributions.
Prof. Dr. Ye Li
Dr. Dominique Gruyer
Dr. Meiting Tu
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. Sustainability 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
- artificial intelligence
- sustainable transportation
- shared mobility
- electric vehicles
- smart mobility
