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WEVJ
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Vehicle Safe Motion in Mixed Vehicle Technologies Environment
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Vehicle Safe Motion in Mixed Vehicle Technologies Environment

A special issue of World Electric Vehicle Journal (ISSN 2032-6653).

Deadline for manuscript submissions: 31 May 2024 | Viewed by 1082

Special Issue Editors

Dr. Stergios Mavromatis

E-Mail Website
Guest Editor
Department of Transportation Planning and Engineering, School of Civil Engineering, National Technical University of Athens, 15780 Athens, Greece
Interests: highway vehicle interaction through vehicle dynamics modelling; highway design consistency; road safety
Prof. Dr. Yasser Hassan

E-Mail Website
Guest Editor
Department of Civil and Environmental Engineering, Carleton University, Ottawa, ON K1S 5B6, Canada
Interests: modelling of roadway alignments; interaction of highway infrastructure and connected autonomous vehicles; effects of driver perception and behavior; reducing collision risk; design consistency and traffic safety; probabilistic highway design
Prof. Dr. George Yannis

E-Mail Website
Guest Editor
Department of Transportation Planning and Engineering, School of Civil Engineering, National Technical University of Athens, 15780 Athens, Greece
Interests: road safety; planning and management of transportation systems

Special Issue Information

Dear Colleagues,

The penetration rate of connected and automated vehicles (CAVs) is increasing every year. There are many discussions regarding the enormous benefits resulting from a fully automated vehicle– human–road interaction, such as mitigating environmental impacts, facilitating mobility, reducing travel time, increasing road network capacity, and advancing further road safety levels.

While a fully connected vehicle–human–road scenario is expected to substantially contribute to improving road network operational and safety aspects, there is a plethora of related new challenges, which must be addressed with caution. Amongst them is the intermediate scheme, which, by including a heterogeneous mixture of human-driven, semi-autonomous, and fully autonomous vehicles, constitutes a critical and challenging task for implementing CAVs.

This Special Issue aims to address problems and suggest potential solutions for mitigating operational and safety aspects that arise during this intermediate vehicle–human–road interaction period. This Special Issue also provides an opportunity to present the latest scientific research on emerging detection technologies, Big Data analytics, and naturalistic driving experiments, among other things.

Dr. Stergios Mavromatis
Prof. Dr. Yasser Hassan
Prof. Dr. George Yannis
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. World Electric Vehicle Journal is an international peer-reviewed open access monthly 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 1400 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

  • vehicle
  • road
  • safety
  • operational aspects
  • CAVs

Published Papers (1 paper)

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Research

13 pages, 1699 KiB  
Article
Game-Based Vehicle Strategy Equalization Algorithm for Unsignalized Intersections
by Guangbing Xiao, Kang Liu, Ning Sun and Yong Zhang
World Electr. Veh. J. 2024, 15(4), 146; https://doi.org/10.3390/wevj15040146 - 2 Apr 2024
Viewed by 629
Abstract
To address the coordination issue of connected autonomous vehicles (CAVs) at unsignalized intersections, this paper proposes a game-theory-based distributed strategy equalization algorithm. To begin, the vehicles present in the scene are conceptualized as participants in a game theory. The decision-payoff function takes into [...] Read more.
To address the coordination issue of connected autonomous vehicles (CAVs) at unsignalized intersections, this paper proposes a game-theory-based distributed strategy equalization algorithm. To begin, the vehicles present in the scene are conceptualized as participants in a game theory. The decision-payoff function takes into account three critical performance indicators: driving safety, driving comfort, and driving efficiency. Then, virtual logic lines connect the front and rear extremities of vehicles with odd and even numbers at the intersection to create a virtual logic ring. By dividing the virtual logic ring into numerous overlapping game groups, CAVs can engage in negotiation and interaction within their respective game groups. This enables the revision of action strategies and facilitates interaction between the overlapping game groups. A further application of the genetic algorithm (GA) is the search for the optimal set of strategies in constrained multi-objective optimization problems. The proposed decision algorithm is ultimately assessed and certified through a collaborative simulation utilizing Python and SUMO. In comparison to the first-come, first-served algorithm and the cooperative driving model based on cooperative games, the average passing delay is decreased by 40.7% and 6.17%, respectively, resulting in an overall improvement in the traffic system’s passing efficiency. Full article
(This article belongs to the Special Issue Vehicle Safe Motion in Mixed Vehicle Technologies Environment)
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