Freeway Ramp Controllers Optimized by Ant Colony Algorithm

被引：0
|
作者：
Lan, Yangfang [1 ]
Liang, Xinrong [1 ]
Dong, Chaojun [1 ]
机构：
[1] Wuyi Univ, Coll Informat Engn, Jiangmen 529020, Guangdong, Peoples R China
来源：
SUSTAINABLE CITIES DEVELOPMENT AND ENVIRONMENT PROTECTION, PTS 1-3 | 2013年 / 361-363卷
关键词：
Ramp metering; Traffic flow model; Proportional plus integral control; Ant colony optimization;
D O I：
10.4028/www.scientific.net/AMM.361-363.2214
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
A proportional plus integral (PI) control method based on ant colony optimization (ACO) is proposed to regulate the number of vehicles entering freeway entrance points. First, a macroscopic traffic flow model is established. Then the basic principles of an ant colony algorithm are formulated and the steps of ACO algorithm in optimizing the PI parameters are given. In conjunction with nonlinear feedback theory, on-ramp PI controllers optimized by the ant colony algorithm are designed. Finally, the control method is simulated in MATLAB software. Simulation results show that the ACO based ramp metering controllers are of good performance. This control method can eliminate traffic jams, maintain traffic flow stability, and make vehicles travel more efficiently and safely.
引用
收藏
页码：2214 / 2218
页数：5
相关论文
共 50 条
  • [1] Coordinated Freeway Ramp Control Based on Genetic Ant Colony Algorithm
    Liang, Xinrong
    Yan, Mu
    Liang, Xinrong
    2017 CHINESE AUTOMATION CONGRESS (CAC), 2017, : 6452 - 6457
  • [2] Ant Colony Routing algorithm for freeway networks
    Cong, Zhe
    De Schutter, Bart
    Babuska, Robert
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2013, 37 : 1 - 19
  • [3] Freeway density control based on the fusion of genetic algorithm and ant colony algorithm
    Liu, Liefeng
    Liang, Xinrong
    Lu, Qi
    Journal of Information and Computational Science, 2015, 12 (17): : 6535 - 6544
  • [4] A Chaotic Ant Colony Optimized Link Prediction Algorithm
    Cao, Zhiwei
    Zhang, Yichao
    Guan, Jihong
    Zhou, Shuigeng
    Wen, Guanghui
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 51 (09): : 5274 - 5288
  • [5] A Fault Tolerant Router with Optimized Ant Colony Algorithm
    Mohanapriya, N.
    Priya, C.
    PROCEEDINGS OF 2016 INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES (ICACCCT), 2016, : 167 - 170
  • [6] Application of optimized ant colony algorithm in network routing
    Zhao, Bingchen, 1600, Transport and Telecommunication Institute, Lomonosova street 1, Riga, LV-1019, Latvia (18):
  • [7] A Reliable Optimized Clustering in MANET using Ant Colony Algorithm
    John, Jeena
    Pushpalakshmi, R.
    2014 INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND SIGNAL PROCESSING (ICCSP), 2014,
  • [8] Application of Ant Colony Algorithm in Optimized Design for Drainage Systems
    Peng, Caihong
    Pang, Zhaohui
    Zhu, Yongzhong
    Tang, Kunhao
    ADVANCES IN CIVIL AND INDUSTRIAL ENGINEERING, PTS 1-4, 2013, 353-356 : 2938 - 2942
  • [9] Optimized ant colony system algorithm for path planning in radiation environments
    Zheng, Xiaochang
    Cao, Jinjia
    Zhang, Yulong
    Chen, Wei
    Wang, Yanjun
    Zhang, Yadong
    NUCLEAR ENGINEERING AND TECHNOLOGY, 2025, 57 (07)
  • [10] Improved Electricity Portfolio Prediction Based on Optimized Ant Colony Algorithm
    Li, Zemin
    TEHNICKI VJESNIK-TECHNICAL GAZETTE, 2023, 30 (02): : 458 - 464
12345