Intelligent Transportation Systems Applications for Sustainability and Safety
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Transportation".
Deadline for manuscript submissions: 31 May 2025 | Viewed by 123
Special Issue Editors
Interests: machine learning; intelligent transportation system; traffic safety; natural language processing; computer vision; reinforcement learning; carbon footprint reduction
Interests: driving behavior analysis; autonomous vehicles safety and regulations; vulnerable road user safety; travel behavioral change after disasters caused by climate change and pandemics; transportation sustainability; adoption behavior towards emerging transportation (electric vehicles, electric motorcycles); travel demand forecasting
Interests: transportation safety; data mining; driving behaviors; connected autonomous vehicles; intelligent transportation system; roadway safety analysis; transportation sustainability
Interests: blockchain; big data
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the increasing challenges posed by urbanization, population growth, and environmental concerns, the field of Intelligent Transportation Systems (ITS) has emerged as a critical area of research. ITS encompasses a diverse range of technologies and methodologies aimed at enhancing the sustainability and safety of transportation systems. From advanced traffic management systems to smart infrastructure and vehicle automation, ITS holds immense potential to revolutionize transportation, ensuring more sustainable and safer mobility solutions that benefit both the environment and overall quality of life.
The purpose of this Special Issue is to explore the intersection of ITS sustainability and safety. By focusing on sustainability and safety aspects within the realm of ITS, we aim to foster discussions and innovations that contribute to building more resilient, equitable, and environmentally friendly smart transportation systems. This Special Issue seeks to bring together researchers, practitioners, and policymakers to share insights, exchange ideas, and propose solutions to the complex challenges facing modern transportation.
Potential themes for submissions to this Special Issue include, but are not limited to, the following:
- Artificial intelligence solutions for enhancing traffic safety;
- Sustainable smart urban mobility solutions;
- Carbon footprint reduction for efficient ITS solutions;
- Environmental impact assessment of emerging intelligent vehicle technologies;
- Safety and reliability enhancements in autonomous driving systems;
- Human factors and behavior analysis in traffic safety;
- Policy and regulatory frameworks for promoting ITS sustainability and safety.
We encourage submissions that present original research, case studies, review articles, and policy analyses contributing to the advancement of knowledge in the field of ITS sustainability and safety. We look forward to receiving your contributions and engaging in fruitful discussions on this important topic.
Respectfully,
Dr. Dongdong Wang
Dr. Amjad Pervez
Dr. Chenzhu Wang
Dr. Liqiang Wang
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 system
- traffic safety
- machine learning
- sustainability
