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Journals
Smart Cities
Special Issues
Advances in Connected and Autonomous Vehicles
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Advances in Connected and Autonomous Vehicles

A special issue of Smart Cities (ISSN 2624-6511). This special issue belongs to the section "Smart Transportation".

Deadline for manuscript submissions: closed (31 May 2022) | Viewed by 21956

Special Issue Editors

Prof. Dr. Ying Huang

E-Mail Website
Guest Editor
Department of Civil, Construction and Environmental Engineering, North Dakota State University, Fargo, ND 58102, USA
Interests: advanced; high performance; smart materials; smart cities; autonomous systems
Special Issues, Collections and Topics in MDPI journals
Dr. Raj Bridgelall

E-Mail Website
Guest Editor
Department of Transportation, Logistics, and Finance / College of Bussiness, North Dakota State University, Fargo, ND 58108, USA
Interests: connected and autonomous vehicles (CAVs); Internet-of-Things (IoT); big data analytics; cloud computing; intelligent transportation solutions; remote sensing with unmanned aircraft systems
Dr. Pan Lu

E-Mail Website
Guest Editor
Upper Great Plains Transportation Institute (UGPTI), North Dakota State University (NDSU), Fargo, ND 58102, USA
Interests: big data analytics for transportation; multimodal and smart transportation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

As automation continues to advance in the vehicle industry, the future of transportation will be the convergence of connected, autonomous, and connected and autonomous vehicles (CVs, AVs, and CAVs, respectively). Although decades will be required for full market penetration, with sufficient penetration of CVs, AVs, and CAVs, numerous benefits could be delivered such as reducing driver fatigue, reduction of traffic and parking congestion, improved safety, affordability for low-income customers, energy conservation, and emission reduction, which will be accompanied by many new risks and challenges such as regulation, security, and privacy protection. This Special Issue is intended to create a forum for advancing research related to CVs, AVs, and CAVs to support researchers, car manufacturers, government agencies, scientists, and engineers to better evaluate the future impacts of automation in vehicles and develop more reliable connected and autonomous vehicles for their applications in smart cities.

Dr. Ying Huang
Dr. Raj Bridgelall
Dr. Pan Lu
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. Smart Cities 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 2000 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

  • Connected vehicles
  • Autonomous vehicles
  • Connected and autonomous vehicles
  • Self-driving vehicles
  • Smart transportation
  • Transportation modeling and analysis

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Published Papers (3 papers)

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Research

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29 pages, 1224 KiB  
Article
Scaling Up Smart City Logistics Projects: The Case of the Smooth Project
by Eleonora Sista and Pietro De Giovanni
Smart Cities 2021, 4(4), 1337-1365; https://doi.org/10.3390/smartcities4040071 - 15 Oct 2021
Cited by 13 | Viewed by 4095
Abstract
A large number of smart city logistics projects fail to scale up, remaining a local experimental exercise. This lack of scalability is, in fact, commonly recognized as a major problem. This study aims to determine the key success factors related to the scalability [...] Read more.
A large number of smart city logistics projects fail to scale up, remaining a local experimental exercise. This lack of scalability is, in fact, commonly recognized as a major problem. This study aims to determine the key success factors related to the scalability of smart city logistics projects. The process of scaling up, which is articulated as expansion, roll-out, and replication, is defined as the ability of a system to improve its scale by aiming to meet the increasing volume demand. Specifically, this study investigates the scalability intended to be used as expansion and roll-out. A qualitative case study was conducted to fulfill the research purpose. The chosen case study is SMOOTh, a pilot project currently underway in the city of Gothenburg, Sweden, involving a diverse group of companies including Volvo Group and DHL. Semi-structured interviews were conducted with seven of the project’s stakeholders. Through a thematic analysis, four categories and the respective success factors were identified. These were represented by a business model, as well as technical, stakeholder and regulatory factors. The paper concludes with observations and recommendations aimed at the pilot initiatives, adding new perspectives to the upscaling debate. Full article
(This article belongs to the Special Issue Advances in Connected and Autonomous Vehicles)
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16 pages, 832 KiB  
Article
Identifying and Quantifying Factors Determining Dynamic Vanpooling Use
by Konstantinos Tsiamasiotis, Emmanouil Chaniotakis, Moeid Qurashi, Hai Jiang and Constantinos Antoniou
Smart Cities 2021, 4(4), 1243-1258; https://doi.org/10.3390/smartcities4040066 - 29 Sep 2021
Cited by 3 | Viewed by 2938
Abstract
Nowadays, the growth of traffic congestion and emissions has led to the emergence of an innovative and sustainable transportation service, called dynamic vanpooling. The main aim of this study is to identify factors affecting the travel behavior of passengers due to the introduction [...] Read more.
Nowadays, the growth of traffic congestion and emissions has led to the emergence of an innovative and sustainable transportation service, called dynamic vanpooling. The main aim of this study is to identify factors affecting the travel behavior of passengers due to the introduction of dynamic vanpooling in the transportation system. A web-based mode choice survey was designed and implemented for this scope. The stated-preference experiments offered respondents binary hypothetical scenarios with an ordered choice between dynamic vanpool and the conventional modes of transport, private car and public transportation. In-vehicle travel time, total travel cost and walking and waiting time or searching time for parking varies across the choice scenarios. An ordered probit model, a multinomial logit model and two binary logit models were specified. The model estimation results indicate that respondents who are aged between 26 and 35 years old, commute with PT or are members of bike-sharing services were significantly more likely to choose dynamic vanpool or PT than private car. Moreover, respondents who are worried about climate change and are willing to spend more for environmentally friendly products are significantly more likely to use dynamic vanpool in comparison with private cars. Finally, to indicate the model estimation results for dynamic vanpool, the value of in-vehicle travel time is found to be 12.2€ per hour (13.4€ for Munich subsample). Full article
(This article belongs to the Special Issue Advances in Connected and Autonomous Vehicles)
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Review

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23 pages, 2203 KiB  
Review
Technology Developments and Impacts of Connected and Autonomous Vehicles: An Overview
by Hafiz Usman Ahmed, Ying Huang, Pan Lu and Raj Bridgelall
Smart Cities 2022, 5(1), 382-404; https://doi.org/10.3390/smartcities5010022 - 17 Mar 2022
Cited by 53 | Viewed by 13500
Abstract
The scientific advancements in the vehicle and infrastructure automation industry are progressively improving nowadays to provide benefits for the end-users in terms of traffic congestion reduction, safety enhancements, stress-free travels, fuel cost savings, and smart parking, etc. The advances in connected, autonomous, and [...] Read more.
The scientific advancements in the vehicle and infrastructure automation industry are progressively improving nowadays to provide benefits for the end-users in terms of traffic congestion reduction, safety enhancements, stress-free travels, fuel cost savings, and smart parking, etc. The advances in connected, autonomous, and connected autonomous vehicles (CV, AV, and CAV) depend on the continuous technology developments in the advanced driving assistance systems (ADAS). A clear view of the technology developments related to the AVs will give the users insights on the evolution of the technology and predict future research needs. In this paper, firstly, a review is performed on the available ADAS technologies, their functions, and the expected benefits in the context of CVs, AVs, and CAVs such as the sensors deployed on the partial or fully automated vehicles (Radar, LiDAR, etc.), the communication systems for vehicle-to-vehicle and vehicle-to-infrastructure networking, and the adaptive and cooperative adaptive cruise control technology (ACC/CACC). Secondly, for any technologies to be applied in practical AVs related applications, this study also includes a detailed review in the state/federal guidance, legislation, and regulations toward AVs related applications. Last but not least, the impacts of CVs, AVs, and CAVs on traffic are also reviewed to evaluate the potential benefits as the AV related technologies penetrating in the market. Based on the extensive reviews in this paper, the future related research gaps in technology development and impact analysis are also discussed. Full article
(This article belongs to the Special Issue Advances in Connected and Autonomous Vehicles)
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