Area-wide urban traffic control: A Bee Colony Optimization approach

被引：51
作者：
Jovanovic, Aleksandar [1 ]
Nikolic, Milos [1 ]
Teodorovic, Dusan [1 ]
机构：
[1] Univ Belgrade, Fac Transport & Traff Engn, Vojvode Stepe 305, Belgrade 11000, Serbia
来源：
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES | 2017年 / 77卷
关键词：
Area-wide urban traffic control; Fixed-time control; Swarm Intelligence; Bee Colony Optimization (BCO); HIERARCHICAL OPTIMAL-CONTROL; TRANSIT NETWORK DESIGN; SIGNAL CONTROL; ALGORITHM; SYSTEMS;
D O I：
10.1016/j.trc.2017.02.006
中图分类号：
U [交通运输];
学科分类号：
08 ; 0823 ;
摘要：
The paper describes a new method of optimizing traffic signal settings. The area-wide urban traffic control system developed in the paper is based on the Bee Colony Optimization (BCO) technique. The BCO method is based on the principles of the collective intelligence applied by the honeybees during the nectar collecting process. The optimal (or near-optimal) values of cycle length, offsets, and splits are discovered by minimizing the total travel time of all network users travelling through signalized intersections. The set of numerical experiments is performed on well-known traffic benchmark network. The results obtained by the BCO approach are compared with the results found by Simulated Annealing (SA). It has been shown that the suggested BCO approach outperformed the SA. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码：329 / 350
页数：22
相关论文
共 70 条
[1]  
[Anonymous], 1988, P IEEE INT S INT CON, DOI DOI 10.1109/ISIC.1988.65405
[2]  
[Anonymous], HIGHWAY CAPACITY MAN
[3]  
BENI G, 1992, PROCEEDINGS OF THE 1992 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL, P234, DOI 10.1109/ISIC.1992.225097
[4]  
Beni G., 1989, Proceedings of the Seventh Annual Meeting of the Robotics Society of Japan, P425, DOI [10.1007/978-3-642-58069-7\_38, DOI 10.1007/978-3-642-58069-7, 10.1007/978-3-642-58069-7_38]
[5]  
Bonabeau E., 1997, Swarm Intelligence
[6]  
Braess D., 1968, UNTERNEHMENSFORSCHUN, V12, P258, DOI DOI 10.1007/BF01918335
[7]   Swarm-Based Controller for Traffic Lights Management [J].
Caselli, Federico ;
Bonfietti, Alessio ;
Milano, Michela .
AI*IA 2015: ADVANCES IN ARTIFICIAL INTELLIGENCE, 2015, 9336 :17-30
[8]   THERMODYNAMICAL APPROACH TO THE TRAVELING SALESMAN PROBLEM - AN EFFICIENT SIMULATION ALGORITHM [J].
CERNY, V .
JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, 1985, 45 (01) :41-51
[9]   Traffic signal timing optimisation based on genetic algorithm approach, including drivers' routing [J].
Ceylan, H ;
Bell, MGH .
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2004, 38 (04) :329-342
[10]  
Chen J, 2006, I C CONT AUTOMAT ROB, P1103
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