Sustainability

Journal Browser

► Journal Browser

Special Issue Editors

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 (2 papers)

Download All Papers

Research

14 pages, 677 KiB

Open AccessArticle

Eco-Friendly Smart Car Parking Management System with Enhanced Sustainability

by Nazmus Sakib, A. S. M. Bakibillah, Susilawati Susilawati, Md Abdus Samad Kamal and Kou Yamada

Sustainability 2024, 16(10), 4145; https://doi.org/10.3390/su16104145 - 15 May 2024

Viewed by 396

Abstract

Efficient car parking management systems that minimize environmental impacts while maximizing user comfort are highly demanding for a future sustainable society. Using electric or gasoline vehicle-type information, emerging computation and communication technologies open the opportunity to provide practical solutions to achieve such goals. This paper proposes an eco-friendly smart parking management system that optimally allocates the incoming vehicles to reduce overall emissions in closed parking facilities while providing comfort incentives to the users of electric vehicles (EVs). Specifically, upon arrival of a car, the most suitable parking spot is determined by minimizing an adaptive objective function that indirectly reflects anticipatory operation for the overall performance maximization of the parking facility using electric or gasoline vehicle-type information. The adaptive objective function includes a trade-off factor that tunes driving and walking distances, relating emissions and comfort to treat incoming vehicles appropriately. The proposed system is simulated for managing a model car parking facility in a shopping complex in Japan, and the aspects related to fuel consumption, CO₂ emissions, and user comfort are evaluated and benchmarked with other standard parking management systems. The proposed system reduces CO₂ emissions and fuel consumption and improves parking efficiency compared to the current parking management systems, while also prioritizing user comfort. Full article

(This article belongs to the Special Issue New Trends and Technologies for Safe, Green, Low-Carbon and Sustainable Traffic Systems)

► Show Figures

Figure 1

19 pages, 2313 KiB

Open AccessArticle

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 506

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 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

(This article belongs to the Special Issue New Trends and Technologies for Safe, Green, Low-Carbon and Sustainable Traffic Systems)

► Show Figures

Figure 1

Journal Menu

Journal Browser

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

Share This Special Issue

Special Issue Editors

Special Issue Information

Keywords

Published Papers (2 papers)

Research

Further Information

Guidelines

MDPI Initiatives

Follow MDPI