The invention discloses a traffic signal timing optimization method based on an improved artificial fish swarm algorithm, belongs to the field of traffic signals, relates to an improved artificial fish swarm algorithm technology, and solves the problem that the artificial fish swarm algorithm easily causes a local optimal solution or cannot jump out of the optimal solution. An intersection traffic signal timing optimization model is established, an optimal value of the traffic signal timing optimization model is found by using an improved artificial fish swarm algorithm, and the improved artificial fish swarm algorithm is a combination of a simulated annealing algorithm and an artificial fish swarm algorithm. The artificial fish swarm algorithm is improved by utilizing the characteristics of high initial value robustness and high local convergence precision of the simulated annealing algorithm so as to improve the global search capability of the artificial fish swarm algorithm, and the traffic operation time of the road intersection is optimized.
本发明公开了一种基于改进人工鱼群算法的交通信号配时优化方法,属于交通信号领域,涉及改进人工鱼群算法技术,解决了人工鱼群算法易造成局部最优解或无法跳出最优解的问题,本发明采集交叉口的信息,建立交叉口交通信号配时优化模型,利用改进的人工鱼群算法找到交通信号配时优化模型的最优值,其中,改进的人工鱼群算法为模拟退火算法与人工鱼群算法相结合,利用模拟退火算法的初值鲁棒性和局部收敛精度高的特点改进人工鱼群算法以提升其全局搜索能力,对道路交叉口的交通运行时间进行优化。
Traffic signal timing optimization method based on improved artificial fish swarm algorithm
一种基于改进人工鱼群算法的交通信号配时优化方法
2024-01-26
Patent
Elektronische Ressource
Chinesisch
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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