sustainability-logo

Journal Browser

Journal Browser

Intelligent Transportation Systems for Sustainable Transportation Management

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Transportation".

Deadline for manuscript submissions: 30 September 2026 | Viewed by 173

Special Issue Editors

College of Transportation, Tongji University, Shanghai 201804, China
Interests: intelligent transportation infrastructures; eco-driving behavior modeling; connected and autonomous vehicles
Special Issues, Collections and Topics in MDPI journals
College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310014, China
Interests: intelligent transportation safety; automotive electronics; energy management of new energy vehicles
College of Transport and Communication, Shanghai Maritime University, Shanghai 201306, China
Interests: autonomous vehicles; parking management; intelligent transportation system
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei 230009, China
Interests: traffic safety; self-driving; intelligent transportation systems

Special Issue Information

Dear Colleagues,

We are pleased to announce a new Special Issue entitled “Intelligent Transportation Systems for Sustainable Transportation Management” in the journal Sustainability. This issue aims to explore the integration of advanced technologies such as connected and automated vehicles, big data analytics, machine learning, electrification, and shared mobility into intelligent transportation systems (ITS) to enhance both safety and environmental sustainability.

With the rapid development of ITS, new opportunities and challenges arise in managing transportation systems more efficiently and responsibly. This Special Issue invites original research and review articles that address key aspects of sustainable transportation management, including, but not limited to, the following: eco-driving, transportation electrification, shared mobility optimization, human factors in ITS, safety performance of advanced driver-assistance systems (ADAS), and behavioral shifts toward sustainable travel modes. We also encourage submissions that leverage emerging methods such as deep learning, edge computing, and multi-source data fusion to propose innovative solutions for reducing emissions, improving energy efficiency, and enhancing overall system resilience.

We welcome interdisciplinary contributions that electronic engineering, data science, environmental science, and social sciences to promote a safer, greener, and more sustainable future in transportation. This issue provides a platform for researchers and practitioners to share insights, methodologies, and policy recommendations that support the transition to smarter and more sustainable mobility systems.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Safety performance and risk analysis in intelligent transportation systems;
  • Driver behavior modeling in automated and connected environments;
  • Eco-driving and energy-efficient traffic management strategies;
  • Integration and optimization of electric vehicles into urban transport networks;
  • Advanced driver-assistance systems (ADAS) and their impact on traffic safety and efficiency;
  • Machine learning and AI applications for sustainable transportation planning and management;
  • Multi-sensor data fusion and real-time traffic monitoring using IoT and edge computing;
  • Behavioral shifts and public acceptance of sustainable transportation modes;
  • Life-cycle assessment and environmental impact analysis of intelligent transport technologies.

We encourage contributions that combine technical innovation with socio-economic and environmental perspectives to advance the transition toward safe, efficient, and low-carbon mobility systems.

We look forward to receiving your contributions.

Dr. Bo Yu
Dr. Yuan Wang
Dr. You Kong
Dr. Zeyang Cheng
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

  • intelligent transportation systems (ITS)
  • sustainable transportation management
  • connected and automated vehicles (CAVs)
  • eco-driving and energy efficiency
  • human factors in automated driving
  • edge computing & IoT for traffic management
  • environmental impact assessment
  • real-time traffic optimization
  • big data analytics in mobility
  • artificial intelligence in transportation management

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.

Published Papers

This special issue is now open for submission.
Back to TopTop