An Arterial Traffic Signal Control System Based on a Novel Intersections Model and Improved Hill Climbing Algorithm

被引：5
|
作者：
Chen, Fuyang [1 ]
Wang, Li [1 ]
Jiang, Bin [1 ]
Wen, Changyun [2 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 210016, Peoples R China
[2] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
来源：
COGNITIVE COMPUTATION | 2015年 / 7卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Arrival-based model; Artery model; Biologically inspired hill climbing algorithm; Membership function; FRAMEWORK;
D O I：
10.1007/s12559-014-9314-8
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, an arterial signal control method based on the modified arrival-based (AB) model is investigated using an improved biologically inspired hill climbing algorithm. The AB model is used to derive an amended objective function model with a membership function for signal cognitive optimization. Next, a modified hill climbing algorithm is proposed to strengthen the adaptive ability of intersections for disturbed traffic flow. At the same time, the probability of searching the globally optimal solutions is improved in the cognitive process. Finally, simulation results verify the applicability of the optimized AB model and the effectiveness of the improved hill climbing algorithm compared with conventional fixed-time control.
引用
收藏
页码：464 / 476
页数：13
相关论文
共 50 条
  • [11] Signal Coordination Control Model for near Saturated Arterial Intersections
    Wang, Hao
    Peng, Xian-Yue
    Zhongguo Gonglu Xuebao/China Journal of Highway and Transport, 2022, 35 (07): : 228 - 240
  • [12] Markov model based adaptive traffic signal control for dilemma zone at signalized intersections
    Liu S.
    Zhang L.
    Yang W.
    Wang Z.
    Tongji Daxue Xuebao/Journal of Tongji University, 2016, 44 (09): : 1398 - 1406
  • [13] Two Intersections Traffic Signal Control Method Based on ADHDP
    Cao, Lin
    Hu, Bin
    Dong, Xisong
    Xiong, Gang
    Zhu, Fenghua
    Shen, Zhen
    Shen, Dong
    Liu, Yuliang
    2016 IEEE INTERNATIONAL CONFERENCE ON VEHICULAR ELECTRONICS AND SAFETY (ICVES), 2016, : 31 - 35
  • [14] Intelligent Agent Based Traffic Signal Control on Isolated Intersections
    Koltovska, Daniela
    Bombol, Kristi
    TEM JOURNAL-TECHNOLOGY EDUCATION MANAGEMENT INFORMATICS, 2014, 3 (03): : 216 - 222
  • [15] Reservation-based traffic signal control for mixed traffic flow at intersections
    Huang, Xin
    Wang, Huan
    Li, Yongfu
    Huang, Longwang
    Zhao, Hang
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2024, 633
  • [16] Monte Carlo Tree Search-Based Mixed Traffic Flow Control Algorithm for Arterial Intersections
    Cheng, Yanqiu
    Hu, Xianbiao
    Tang, Qing
    Qi, Hongsheng
    Yang, Hong
    TRANSPORTATION RESEARCH RECORD, 2020, 2674 (08) : 167 - 178
  • [17] Developing combined genetic algorithm - Hill-climbing optimization method for area traffic control
    Ceylan, Halim
    JOURNAL OF TRANSPORTATION ENGINEERING-ASCE, 2006, 132 (08): : 663 - 671
  • [18] Adaptive Coordinated Traffic Control for Arterial Intersections based on Reinforcement Learning
    Ma, Zian
    Xu, Chengcheng
    Kan, Yuheng
    Wang, Maonan
    Wu, Wei
    2021 IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE (ITSC), 2021, : 2562 - 2567
  • [19] A novel photovoltaic system control strategies for improving hill climbing algorithm efficiencies in consideration of radian and load effect
    Liu, Hwa-Dong
    Lin, Chang-Hua
    Pai, Kai-Jun
    Lin, Yu-Liang
    ENERGY CONVERSION AND MANAGEMENT, 2018, 165 : 815 - 826
  • [20] The optimization for traffic signal based on improved immunogenetic algorithm
    Department of Computer Science and Technology, Tongji University, Shanghai 200092, China
    Moshi Shibie yu Rengong Zhineng, 2006, 3 (331-337):
12345