Intelligent traffic signal control based on multiple agents

被引:0
|
作者
Wang, ZhengQin [1 ]
机构
[1] Guangzhou Nanyang Polytech Coll, Guangzhou 510925, Peoples R China
关键词
intelligent transportation; Multiple agents; Learning algorithm; Coordinated control;
D O I
10.1109/ICMCCE48743.2019.00077
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
At present, with the rapid development of social economy, people's living standards have been gradually improved, and the number of urban motor vehicles has been increasing, resulting in increasingly prominent traffic problems, and traffic congestion has become an urgent problem to be solved. Wireless sensor network (WSN), as a new information acquisition and processing technology, has the characteristics of unrestricted environment, self-organization and distribution in traffic signal control system. However, due to the limitation of single sensor node itself, the multi-agent theory can be used as an effective method to describe and analyze. Based on this, this paper introduces the multi-agent technology to study the intelligent traffic signal control in the multi-agent environment, focusing on the single intersection signal control method and multi-intersection signal coordination control method.
引用
收藏
页码:315 / 319
页数:5
相关论文
共 50 条
  • [21] Intelligent Traffic Signal Control Approach Based on Fuzzy-Genetic Algorithm
    Cheng, Xiangjun
    Yang, Zhaoxia
    FIFTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 3, PROCEEDINGS, 2008, : 221 - 225
  • [22] Adaptive Traffic Signal Control Mechanism for Intelligent Transportation Based on a Consortium Blockchain
    Zhang, Xiaohong
    Wang, Di
    IEEE ACCESS, 2019, 7 : 97281 - 97295
  • [23] A Smart Contract-Based Intelligent Traffic Adaptive Signal Control Scheme
    Wang, Wenyue
    Tian, Xiang
    Cheng, Xiaolu
    Yuan, Yuan
    Yan, Biwei
    Yu, Jiguo
    WIRELESS ALGORITHMS, SYSTEMS, AND APPLICATIONS (WASA 2022), PT I, 2022, 13471 : 52 - 63
  • [24] An intelligent control method for urban traffic signal based on fuzzy neural network
    Zang, Lilin
    Jia, Lei
    Luo, Yonggang
    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 3430 - 3434
  • [25] Traffic Signal Control System Based on Intelligent Transportation System and Reinforcement Learning
    Hurtado-Gomez, Julian
    David Romo, Juan
    Salazar-Cabrera, Ricardo
    Pachon de la Cruz, Alvaro
    Molina, Juan Manuel Madrid
    ELECTRONICS, 2021, 10 (19)
  • [26] The Design and Simulation of Intelligent Traffic Signal Control System Based on Fuzzy Logic
    Lin, Yi
    FOUNDATIONS OF INTELLIGENT SYSTEMS (ISKE 2013), 2014, 277 : 965 - 973
  • [27] Distributed Application for Traffic Control Using Intelligent Agents
    Leon, Florin
    Zaharia, Mihai Horia
    Pal, Cristea
    Boronea, Stefan Adrian
    Didilescu, Tudor
    AIC '09: PROCEEDINGS OF THE 9TH WSEAS INTERNATIONAL CONFERENCE ON APPLIED INFORMATICS AND COMMUNICATIONS: RECENT ADVANCES IN APPLIED INFORMAT AND COMMUNICATIONS, 2009, : 357 - +
  • [28] The design and simulation for intelligent traffic signal control system
    Hwang, RY
    Wu, WD
    Lee, JS
    PROCEEDINGS OF THE HIGH PERFORMANCE COMPUTING SYMPOSIUM - HPC '99, 1999, : 175 - 180
  • [29] A Comparative Study of Algorithms for Intelligent Traffic Signal Control
    Chaudhuri, Hrishit
    Masti, Vibha
    Veerendranath, Vishruth
    Natarajan, S.
    MACHINE LEARNING AND AUTONOMOUS SYSTEMS, 2022, 269 : 271 - 287
  • [30] Research of Urban Intelligent Traffic Signal Control System Based on the Multi-Agent
    Jiang, ShuFeng
    2nd International Conference on Sensors, Instrument and Information Technology (ICSIIT 2015), 2015, : 405 - 410