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Algorithm Research & Explore
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2087-2092

Vehicle traffic scheduling strategy at unsignalized intersections under vehicle road coordination

Zhang Fangyi
Peng Jingyang
Li Lei
Wang Wenge
College of Mechanical & Vehicle Engineering, Hunan University, Changsha 410082, China

Abstract

The vehicle traffic scheduling problem at unsignalized intersections is the research focus in the field of intelligent transportation. Because the solution space of vehicle traffic order decision problem increases exponentially with the increase of the number of vehicles, finding the optimal traffic sequence while ensuring the real-time performance has become a major problem for traffic scheduling at unsignalized intersections. To solve this problem, this paper proposed a vehicle traffic scheduling method at unsignalized intersections based on adaptive Monte Carlo tree search algorithm, which used a hierarchical framework, upper level centralized sequential decision-making, and lower level distributed trajectory planning. Firstly, the intersection model based on the conflict point was established, the connected vehicles were added to the queue to be searched, the Monte Carlo tree search process of the traffic sequence was designed according to the vehicle traffic characteristics in the intersection, the evaluation function was established with the total traffic time as the index, and then the adaptive exploration coefficient and other super parameters were designed for different traffic situations, so that the algorithm could maintain the best state in solving different vehicle numbers and different search periods. In the trajectory planning process, the acceleration two norm was taken as the objective function, and the speed, acceleration and the position of the starting point were taken as constraints to establish the optimal control proposition to solve the vehicle trajectory. Finally, experiments were carried out, and the results show that compared with other algorithms, the maximum optimization amplitude of this algorithm in numerical simulation and micro platform experiment is 33.42% and 38.04% respectively, which provides an effective solution for vehicle traffic scheduling at unsignalized intersections.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.11.0544
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 7
Section: Algorithm Research & Explore
Pages: 2087-2092
Serial Number: 1001-3695(2024)07-023-2087-06

Publish History

[2024-01-23] Accepted Paper
[2024-07-05] Printed Article

Cite This Article

张方忆, 彭景阳, 李磊, 等. 车路协同下的无信号交叉口车辆通行调度策略 [J]. 计算机应用研究, 2024, 41 (7): 2087-2092. (Zhang Fangyi, Peng Jingyang, Li Lei, et al. Vehicle traffic scheduling strategy at unsignalized intersections under vehicle road coordination [J]. Application Research of Computers, 2024, 41 (7): 2087-2092. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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