sustainability-logo

Journal Browser

Journal Browser

New Trends and Technologies for Safe, Green, Low-Carbon and Sustainable Traffic Systems

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

Deadline for manuscript submissions: 12 September 2024 | Viewed by 663

Special Issue Editors


E-Mail Website
Guest Editor
Department of Traffic Information and Control Engineering, Jilin University, Changchun 130022, China
Interests: traffic perception; intelligent transportation systems; emergency traffic management, optimization, and simulation; traffic data analysis and visualization
Special Issues, Collections and Topics in MDPI journals
Department of Traffic Information and Control Engineering, Jilin University, Changchun 130022, China
Interests: intelligent traffic navigation and location; intelligent transportation systems; traffic behavior analysis; traffic safety evaluation and prevention
Special Issues, Collections and Topics in MDPI journals
Department of Traffic Information and Control Engineering, Jilin University, Changchun 130022, China
Interests: intelligent transportation systems; traffic perception; traffic safety

Special Issue Information

Dear Colleagues,

Today, more than ever before, the traffic system is facing many challenges and opportunities due to socioeconomic changes and technological innovation. The increasing demand for safety, mobility, and environmental protection requires innovative solutions that can enhance the efficiency, reliability, and sustainability of the system. New trends and technologies for safe, green, low-carbon, and sustainable road traffic systems are emerging to address these issues, such as electric vehicles (EVs), autonomous vehicles (AVs), mobility as a service (MaaS), vehicle-to-everything (V2X). These advancements can contribute to a safer, greener, low-carbon, and sustainable traffic system.

This Special Issue will highlight new opportunities and challenges for sustainable transportation, focusing on improving and evaluating the safety, greenness, low-carbonization, and sustainability of traffic systems. Topics of interest include, but are not limited to: (1) charging optimization and energy management for electric vehicles; (2) competition, coordination, and cooperation between connected autonomous vehicles and human-driven vehicles in mixed traffic flow; (3) data-driven traffic management, optimization, and simulation; (4) mobility as a service (MaaS); (5) traffic accident prediction and prevention; and (6) innovative mobility services.

We look forward to receiving your contributions.

Dr. Ciyun Lin
Dr. Bowen Gong
Dr. Hui Liu
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

  • traffic management and control
  • traffic modeling and simulation
  • mobility as a service
  • data-driven methodologies
  • big data analytics

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

19 pages, 2313 KiB  
Article
A Multi-Objective Optimization Method for Single Intersection Signals Considering Low Emissions
by Shan Wang, Yu Zhao, Shaoqi Zhang, Dongbo Wang, Chao Wang and Bowen Gong
Sustainability 2024, 16(9), 3522; https://doi.org/10.3390/su16093522 - 23 Apr 2024
Viewed by 269
Abstract
The exponential growth of urban centers has exacerbated the prevalence of traffic-related issues. This surge has amplified the conflict between the escalating need for travel among individuals and the constricted availability of road infrastructure. Consequently, the escalation of traffic accidents and the exacerbation [...] Read more.
The exponential growth of urban centers has exacerbated the prevalence of traffic-related issues. This surge has amplified the conflict between the escalating need for travel among individuals and the constricted availability of road infrastructure. Consequently, the escalation of traffic accidents and the exacerbation of environmental pollution have emerged as increasingly pressing concerns. Urban road intersections, serving as pivotal junctures for vehicle convergence and dispersal, have remained a focal point for scholarly inquiry regarding enhanced operational efficacy and safety. Concurrently, vehicles navigating intersections are subject to external influences, such as pedestrian crossings and signal controls, causing frequent fluctuations in their operational dynamics. These fluctuations contribute to heightened exhaust emissions, exacerbating air pollution and posing health risks to pedestrians frequenting these intersections. A reasonable signal timing scheme can enable more vehicles to pass through the intersection safely and smoothly and reduce the pollutants generated by transportation. Therefore, optimizing signal timing schemes at intersections to alleviate traffic problems is a topic that needs to be studied urgently. In this paper, the emission model based on specific power is analyzed. Through an analysis of the correlation between specific power distribution intervals and the emission rates of individual pollutants, it has been observed that vehicle emission rates are at their lowest during idle speed, progressively increasing with rising vehicle speeds. Investigation into specific power distribution based on variables, such as vehicle type, frequency of stops, and varying delays, has led to the deduction that the peak specific power of vehicles at intersections consistently occurs within the (0, 1) interval. Furthermore, it has been established that high-saturation intersections exhibit higher peak specific power compared to low-saturation intersections. Full article
Show Figures

Figure 1

Back to TopTop