Control Systems for Autonomous Vehicles

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".

Deadline for manuscript submissions: 16 August 2024 | Viewed by 543

Special Issue Editors


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Guest Editor
School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China
Interests: nonlinear and adaptive control for intelligent vehicles and mobile robots; distributed control for multi-agent systems; unmanned and manned lunar exploration rover

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Guest Editor
Department of Electrical and Electronic Engineering, University of Manchester, Manchester M13 9PL, UK
Interests: distributed control; robotic path planning; multi-agent systems; distributed learning
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Special Issue Information

Dear Colleagues,

The field of autonomous vehicles has witnessed remarkable advancements in recent years, driven by the integration of cutting-edge technologies in control systems. This convergence has not only revolutionized the automotive industry but has also opened avenues for interdisciplinary research and innovation. As we navigate through this transformative era, it becomes imperative to explore and consolidate the latest developments in control systems for autonomous vehicles. This Special Issue aims to provide a comprehensive overview of the current state of the art, addressing challenges and opportunities in this dynamic domain.

The primary objective of this Special Issue is to bring together researchers, academicians, and industry experts to share their findings and insights in the realm of control systems for autonomous vehicles. We seek to showcase advancements that contribute to the enhancement of vehicle autonomy, safety, efficiency, and overall performance. This Special Issue aligns with the journal's scope by fostering interdisciplinary discussions that bridge the gap between control systems engineering, and autonomous vehicle technology. We invite submissions that present novel methodologies, theoretical frameworks, practical implementations, and critical reviews, thereby enriching the scholarly discourse.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Advanced control algorithms for autonomous vehicles, considering factors such as real-time responsiveness, adaptability to diverse environments, and robustness;
  • Integration of artificial intelligence techniques;
  • Advanced control system designs for precise control and maneuvering of autonomous vehicles in complex driving scenarios;
  • Cooperative and coordinated control of multiple autonomous vehicles;
  • Applications of autonomous vehicles in transportation, warehouse, construction, manufacturing, space exploration, etc.

We look forward to receiving your contributions.

Dr. Zhongchao Liang
Dr. Zhongguo Li
Guest Editors

Manuscript Submission Information

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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. Electronics 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

  • autonomous vehicles
  • advanced nonlinear control
  • cooperative control
  • artificial intelligence

Published Papers (1 paper)

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Research

20 pages, 4018 KiB  
Article
Cooperative Lane-Change Control Method for Freeways Considering Dynamic Intelligent Connected Dedicated Lanes
by Jian Xiang, Zhengwu Wang, Qi Mi, Qiang Wen and Zhuye Xu
Electronics 2024, 13(9), 1625; https://doi.org/10.3390/electronics13091625 - 24 Apr 2024
Viewed by 254
Abstract
Connected Autonomous Vehicle (CAV) dedicated lanes can spatially eliminate the disturbance from Human-Driven Vehicles (HDVs) and increase the probability of vehicle cooperative platooning, thereby enhancing road capacity. However, when the penetration rate of CAVs is low, CAV dedicated lanes may lead to a [...] Read more.
Connected Autonomous Vehicle (CAV) dedicated lanes can spatially eliminate the disturbance from Human-Driven Vehicles (HDVs) and increase the probability of vehicle cooperative platooning, thereby enhancing road capacity. However, when the penetration rate of CAVs is low, CAV dedicated lanes may lead to a waste of road resources. This paper proposes a cooperative lane-changing control method for multiple vehicles considering Dynamic Intelligent Connected (DIC) dedicated lanes. Initially, inspired by the study of dedicated bus lanes, the paper elucidates the traffic regulations for DIC dedicated lanes, and two decision-making approaches are presented based on the type of lane-change vehicle and the target lane: CAV autonomous cooperative lane change and HDV mandatory cooperative lane change. Subsequently, considering constraints such as acceleration, speed, and safe headway, cooperative lane-change control models are proposed with the goal of minimizing the weighted sum of vehicle acceleration and lane-change duration. The proposed model is solved by the TOPSIS multi-objective optimization algorithm. Finally, the effectiveness and advancement of the proposed cooperative lane-changing method are validated through simulation using the SUMO software (Version 1.19.0). Simulation results demonstrate that compared to traditional lane-changing models, the autonomous cooperative lane-changing model for CAVs significantly improves the success rate of lane changing, reduces lane-changing time, and causes less speed disturbance to surrounding vehicles. The mandatory cooperative lane-changing model for HDVs results in shorter travel times and higher lane-changing success rates, especially under high traffic demand. The methods presented in this paper can notably enhance the lane-changing success rate and traffic efficiency while ensuring lane-changing safety. Full article
(This article belongs to the Special Issue Control Systems for Autonomous Vehicles)
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