摘要
为了实现交通干线信号的合理控制,有效缓解城市交通拥挤,对遗传算法中适应度函数、交叉算子和变异算子等进行了一系列改进,设计了一种基于遗传算法和混沌优化思想的混合式优化算法,并对由6个交叉路口组成的城市双向交通干线进行了仿真试验。结果表明:该算法能有效地提高交通干线系统的交通流量,比定时控制通过率提高了13.7%;验证了该算法对干线路口信号灯模拟控制的有效性。
In order to reasonably control the traffic signals at urban trunk road, and to effectively mitigate the traffic jam, this paper designs a hybrid optimization algorithm based on genetic algorithm and chaos optimization thought, in which the fitness function, crossover operator and mutation operator are improved. This hybrid optimization algorithm is adopted to the urban bi- directional traffic trunk road consisted of six intersections, and the simulation experiment is carried out. The results show that: this algorithm is able to improve the traffic flow of traffic trunk system availably, this algorithm to the simulation control of traffic trunk intersection signal lamps is effective. 3 tabs, 3 figs, 8 refs.
出处
《长安大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2009年第1期83-87,共5页
Journal of Chang’an University(Natural Science Edition)
关键词
交通工程
城市交通
交通流量
多交叉路口
混合式优化算法
遗传算法
traffic engineering
urban traffic
traffic volume
multi-intersection
hybrid optimization algorithm
genetic algorithm