Special Issue "Transport Sustainability and Resilience in Smart Cities"

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

Deadline for manuscript submissions: 30 November 2021.

Special Issue Editors

Dr. Feng Zhu
E-Mail Website
Guest Editor
School of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639798, Singapore
Interests: connected and automated vehicles; traffic flow; traffic control; traffic safety
Dr. Wenbo Zhang
E-Mail Website
Guest Editor
Department of Traffic Engineering, Southeast University, Nanjing 211189, Jiangsu, China
Interests: transportation big data; smart mobility; intelligent transportation management
Dr. Yuntao Guo
E-Mail Website
Guest Editor
Department of Traffic Engineering & Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, 4800 Cao'an Road, Shanghai 201804, China
Interests: travel behavior; transportation policy; automated vehicles; travel safety
Prof. Dr. Jian Wang
E-Mail Website
Guest Editor
School of Transportation, Southeast University, Nanjing 211189, China
Interests: connected and autonomous transportation; transportation system modeling and analysis; data analytics for transportation systems

Special Issue Information

Dear Colleagues,

Population growth and economic expansion in urban area lead to various urbanization challenges, such as environmental degradation and traffic congestion. In addressing urbanization issues, the development of smart cities leverages information and communication technologies to optimize the efficiency of usage and distribution of social, economic, political, and environmental resources. Transportation systems play an important role in the thriving of smart cities as they enable the efficient transport of resources between different origins and destinations. However, along with the growth of urbanization, the environmental externalities of the transportation system also grow, as well as the potential for disruptions. It is essential to ensure that transportation systems in smart cities are sustainable to urbanization growth and resilient to potential disruptions.

We invite researchers to contribute to the Special Issue on the sustainability and resilience challenges associated with the development of transportation systems in smart cities. This Special Issue is intended to serve as an international forum covering broad aspects of science, engineering, technology, economy and the application of sustainability and resilience in urban transportation. Potential topics include but are not limited to:

  • Sustainable public transport policies;
  • Traveler behavioral analysis;
  • Travel demand management, capacity analysis;
  • Integration of smart grids and transportation;
  • Advances in green vehicles, electric vehicles, and vehicular emission reduction;
  • Active mobility modes (walking, cycling, and the use of personal mobility devices);
  • Innovative mobility service, car-sharing service;
  • Congestion mitigation measures;
  • Self-driving vehicles, connected and automated vehicles;
  • Risk assessment of critical transportation infrastructure;
  • Impact of critical transportation infrastructure failure;
  • Vulnerability analysis of transportation systems;
  • Data-driven models for transportation resilience;
  • Resilience of multimodal transportation;
  • Resilience and recovery of transportation systems under disruption.

Dr. Feng Zhu
Dr. Wenbo Zhang
Dr. Yuntao Guo
Prof. Dr. Jian 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 papers will be 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 1900 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

  • urban transport
  • sustainability
  • resilience
  • smart cities

Published Papers (2 papers)

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Research

Article
Junction Management for Connected and Automated Vehicles: Intersection or Roundabout?
Sustainability 2021, 13(16), 9482; https://doi.org/10.3390/su13169482 - 23 Aug 2021
Viewed by 406
Abstract
The concept of signal-free management at road junctions is tailored for Connected and Automated Vehicles (CAVs), in which the conventional signal control is replaced by various right-of-way assignment policies. First-Come-First-Served (FCFS) is the most commonly used policy. In most proposed strategies, although the [...] Read more.
The concept of signal-free management at road junctions is tailored for Connected and Automated Vehicles (CAVs), in which the conventional signal control is replaced by various right-of-way assignment policies. First-Come-First-Served (FCFS) is the most commonly used policy. In most proposed strategies, although the traffic signals are replaced, the organization of vehicle trajectory remains the same as that of traffic lights. As a naturally signal-free strategy, roundabout has not received enough attention. A key motivation of this study is to theoretically compare the performance of signalized intersection (I-Signal), intersection using FCFS policy (I-FCFS), roundabout using the typical major-minor priority pattern (R-MM), and roundabout adopting FCFS policy (R-FCFS) under pure CAVs environment. Queueing theory is applied to derive the theoretical formulas of the capacity and average delay of each strategy. M/G/1 model is used to model the three signal-free strategies, while M/M/1/setup model is used to capture the red-and-green light switch nature of signal control. The critical safety time gaps are the main variables and are assumed to be generally distributed in the theoretical derivation. Analytically, I-Signal has the largest capacity benefiting from the ability to separate conflict points in groups, but in some cases it will have higher delay. Among the other three signal-free strategies, R-FCFS has the highest capacity and the least average control delay, indicating that the optimization of signal-free management of CAVs based on roundabout setting is worthy of further study. Full article
(This article belongs to the Special Issue Transport Sustainability and Resilience in Smart Cities)
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Article
Investigation of Bus Drivers’ Reaction to ADAS Warning System: Application of the Gaussian Mixed Model
Sustainability 2021, 13(16), 8759; https://doi.org/10.3390/su13168759 - 05 Aug 2021
Viewed by 300
Abstract
Road crashes cause serious loss of life and property. Among all vehicles, buses are more likely to encounter crashes. In recent years, the advanced driving assistance system (ADAS) has been widely used in buses to improve safety. The warning system is one of [...] Read more.
Road crashes cause serious loss of life and property. Among all vehicles, buses are more likely to encounter crashes. In recent years, the advanced driving assistance system (ADAS) has been widely used in buses to improve safety. The warning system is one of the key functions and has proven effective in reducing crashes. However, drivers often ignore or overreact to ADAS warnings during naturalistic driving scenarios. Therefore, reactions of bus drivers to warnings need further investigation. In this study, bus drivers’ responses to lane departure warning (LDW) and forward collision warning (FCW) were investigated using 20-day naturalistic driving data. These reactions could be classified into three categories, namely positive, negative, and overreaction or emergency, by employing the Gaussian mixture model. The authors constructed a framework to quantify drivers’ reactions to the warning and study the reaction characteristics in different environments. The results indicate that drivers’ reactions to FCW were more positive than to LDW, drivers reacted more positively to LDW and FCW while driving on highways than on urban roads, and drivers reacted more positively at night to LDW and FCW than during daytime. This study gives support to an adaptive ADAS considering varying bus driver characteristics and environments. Full article
(This article belongs to the Special Issue Transport Sustainability and Resilience in Smart Cities)
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