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Sustainable Intelligent Transportation: Cooperative Systems and Vehicle Automation

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

Deadline for manuscript submissions: 27 December 2024 | Viewed by 835

Special Issue Editors


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Guest Editor
College of Transportation Engineering, Tongji University, Shanghai 201804, China
Interests: vehicle–infrastructure cooperative decision making

E-Mail Website
Guest Editor
College of Transportation Engineering, Tongji University, Shanghai 201804, China
Interests: vehicle cooperative automation
College of Transportation Engineering, Tongji University, Shanghai 201804, China
Interests: AV testing and simulation

Special Issue Information

Dear Colleagues,

Sustainability invites researchers and experts in the field of transportation to contribute to a Special Issue titled "Sustainable Intelligent Transportation: Cooperative Systems and Vehicle Automation." This Special Issue aims to explore the intersection of intelligent transportation, cooperative systems, and vehicle automation, with a strong focus on sustainability.

Intelligent transportation systems have revolutionized the way we move and interact with our transportation networks. These systems, driven by advanced technologies such as information technology, control technology, and computer technology, have significantly improved efficiency, safety, and reliability. However, with the pressing need to address environmental concerns and enhance sustainability in transportation, the concept of sustainable intelligent transportation has gained paramount importance.

Cooperative systems, which involve vehicles communicating and collaborating with each other and with infrastructure, hold great promise in improving transportation performance, reducing congestion, and enhancing safety. Additionally, vehicle automation technologies, including autonomous vehicles and driver assistance systems, have the potential to revolutionize transportation by reducing emissions, improving energy efficiency, and enhancing traffic flow.

This Special Issue aims to bring together researchers, practitioners, and experts from various disciplines to explore the latest advancements, challenges, and opportunities in sustainable intelligent transportation, with a specific focus on cooperative systems and vehicle automation. We welcome original research articles, reviews, and case studies covering a wide range of topics related to this theme, including but not limited to:

  • Cooperative systems for intelligent transportation;
  • Vehicle automation technologies and their impact on sustainability;
  • Intelligent transportation infrastructure and communication systems;
  • Energy-efficient routing and traffic management;
  • Sustainable mobility solutions and shared transportation services;
  • Intelligent transportation systems for smart cities;
  • Environmental impact assessment of intelligent transportation systems;
  • Policy and regulatory frameworks for sustainable intelligent transportation;
  • Human factors and user acceptance of cooperative systems and vehicle automation;
  • Safety and reliability of autonomous and cooperative vehicles.

We invite authors to submit their high-quality contributions to this Special issue. Manuscripts should adhere to the journal's guidelines for authors and will undergo a rigorous peer-review process. Accepted papers will be published in Sustainability, a reputable publication known for its commitment to advancing the field of transportation and sustainability.

Join us in shaping the future of sustainable intelligent transportation through cooperative systems and vehicle automation. We look forward to receiving your valuable contributions.

Prof. Dr. Jia Hu
Dr. Haoran Wang
Dr. Jintao Lai
Guest Editor

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

  • sustainable transportation
  • cooperative system
  • vehicle automation
  • driver assistance
  • eco-driving
  • energy management

Published Papers (1 paper)

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Research

28 pages, 3620 KiB  
Article
Smart Insertion Strategies for Sustainable Operation of Shared Autonomous Vehicles
by Sapan Tiwari, Neema Nassir and Patricia Sauri Lavieri
Sustainability 2024, 16(12), 5175; https://doi.org/10.3390/su16125175 - 18 Jun 2024
Viewed by 569
Abstract
As shared autonomous vehicles (SAV) emerge as an economical and feasible mode of transportation in modern cities, effective optimization models are essential to simulate their service. Traditional optimization approaches, based on first-come-first-served principles, often result in sub-optimal outcomes and, more notably, can impact [...] Read more.
As shared autonomous vehicles (SAV) emerge as an economical and feasible mode of transportation in modern cities, effective optimization models are essential to simulate their service. Traditional optimization approaches, based on first-come-first-served principles, often result in sub-optimal outcomes and, more notably, can impact public transport (PT) operations by creating unnecessary competition. This study introduces four insertion strategies within the MATSim model of the Melbourne Metropolitan Area, addressing these challenges. Two strategies optimize SAV operations by considering overall network costs, and the other two make insertion decisions based on the available PT service in the network. The findings show that strategic insertions of the requests can significantly enhance SAV service quality by improving the vehicle load and decreasing vehicle and empty kilometers traveled per ride. The analysis indicates that these strategies are particularly effective for smaller fleet sizes, leading to an increased number of served rides and a more equitable distribution of wait times across the network, reflected in an improved Gini Index. The findings suggest that prioritization-based insertions significantly enhance service quality by prioritizing users with limited access to PT, ensuring that those with fewer PT options are served first, and encouraging a more integrated and sustainable urban transportation system. Full article
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