Analysis and Control of Intelligent Traffic Signal System Based on Adaptive Fuzzy Neural. Network

被引：0
|
作者：
Dong, Changqing [1 ]
Yang, Kaixin [2 ]
Guo, Jinwei [2 ]
Chen, Xiaowei [2 ]
Dong, Haibo [2 ]
Bai, Yunlong [2 ]
机构：
[1] Tianjin Univ, Coll Management & Econ, Tianjin, Peoples R China
[2] China Automot Technol & Res Ctr Co Ltd, Automot Data Ctr, Tianjin, Peoples R China
来源：
2019 5TH INTERNATIONAL CONFERENCE ON TRANSPORTATION INFORMATION AND SAFETY (ICTIS 2019) | 2019年
关键词：
Intelligent transport system; V2X; Traffic signal control; Adaptive fuzzy neural network;
D O I：
暂无
中图分类号：
U [交通运输];
学科分类号：
08 ; 0823 ;
摘要：
The paper proposes an intelligent traffic signal control system based on AFNN (Adaptive Fuzzy Neural Network) algorithm, which can adjust the signal cycle and green split to improve traffic efficiency. First, based on V2X (Vehicle to X) intelligent networking technology, the numbers of waiting vehicles at traffic light intersections are real-timely detected. Then, an AFNN algorithm is used to get the knowledge of experience and online self-adjustment is followed according to traffic state to optimize light signal control scheme. Finally, the validity and rationality of the system are verified by the system simulation model. The results show that with the help of the adaptive control system, the average delay time was reduced by 8.45%, and the average fuel economy increased by 24.04%.
引用
收藏
页码：1352 / 1357
页数：6
相关论文
共 50 条
  • [41] Adaptive Fuzzy Neural Network Control for Automatic Landing System
    Juang, Jih-Gau
    Chien, Li-Hsiang
    COMPUTATIONAL COLLECTIVE INTELLIGENCE: TECHNOLOGIES AND APPLICATIONS, PT I, 2010, 6421 : 520 - 530
  • [42] Urban Traffic Signal System Control Structural Optimization Based on Network Analysis
    Wang, Li
    Liu, Xiao-ming
    Wang, Zhi-jian
    Li, Zheng-xi
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2013, 2013
  • [43] Adaptive Traffic Signal Control Mechanism for Intelligent Transportation Based on a Consortium Blockchain
    Zhang, Xiaohong
    Wang, Di
    IEEE ACCESS, 2019, 7 : 97281 - 97295
  • [44] 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
  • [45] adaptive hierarchical sliding mode control based on fuzzy neural network for an underactuated system
    Huang, Xiaorong
    Ralescu, Anca L.
    Gao, Hongli
    Wen, Juan
    2018 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2018,
  • [46] Adaptive hierarchical sliding mode control based on fuzzy neural network for an underactuated system
    Huang, Xiaorong
    Gao, Hongli
    Ralescu, Anca L.
    Huang, Haibo
    ADVANCES IN MECHANICAL ENGINEERING, 2018, 10 (09):
  • [47] Vision based adaptive traffic signal control system development
    Deng, LY
    Tang, NC
    Lee, DL
    Wang, CT
    Lu, MC
    AINA 2005: 19TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS, VOL 2, 2005, : 385 - 388
  • [48] Fuzzy adaptive traffic signal control -: Principles and results
    Niittymäki, J
    Nevala, R
    JOINT 9TH IFSA WORLD CONGRESS AND 20TH NAFIPS INTERNATIONAL CONFERENCE, PROCEEDINGS, VOLS. 1-5, 2001, : 2870 - 2875
  • [49] 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)
  • [50] Intelligent Fuzzy Traffic Signal Control System for Complex Intersections Using Fuzzy Rule Base Reduction
    Chala, Tamrat D.
    Koczy, Laszlo T.
    SYMMETRY-BASEL, 2024, 16 (09):
12345