基于改进鲸鱼优化算法的多目标信号配时优化  

Multi-Objective Signal Timing Optimization Based on Improved Whale Optimization Algorithm

作　　者：吴小龙 胡松 成卫[2] WU Xiaolong;HU Song;CHENG Wei(Kunming Qianmo Traffic Engineering Consulting Co.Ltd.,Kunming 655028,China;Faculty of Transportation Engineering,Kunming University of Science and Technology,Kunming 650500,China)

机构地区：[1]昆明阡陌交通工程咨询有限公司,云南昆明650028 [2]昆明理工大学交通工程学院,云南昆明650500

出　　处：《昆明理工大学学报（自然科学版）》2021年第1期134-141,共8页Journal of Kunming University of Science and Technology(Natural Science)

基　　金：国家自然科学基金项目(61364019)。

摘　　要：为了使交叉口的通行效益最大化,构建以交叉口平均延误、平均停车次数最小以及最大通行能力最大化为优化目标的多目标函数模型,并提出一种基于自适应权重和levy飞行的改进鲸鱼优化算法(ALWOA)对信号控制交叉口进行配时方案优化.结合实际算例,将求解后的结果与现有方案、使用传统的Webster算法求解的方案、使用GA和标准WOA得到的方案进行对比.结果表明,使用ALWOA得到的配时方案明显优于其他方法,从而证明了改进后的鲸鱼优化算法以及函数模型在交叉口信号配时方案优化上的有效性.In order to get the maximum benefits of the comprehensive traffic intersection,we constructed a multi-objective function model to achieve the minimum average delay,the smallest average number of parking and the maximum capacity.We also proposed an Adaptive Weight and Levy Flight Improved Whale Optimization Algorithm(ALWOA)to optimize the timing scheme in the signal control intersection.Combined with the actual examples,the results and the schem were compared with the scheme resulted from the conventional Webster Algorithm,GA and standard WOA.The results show that the ALWOA timing scheme is superior to other methods,which has proved the effectiveness of ALWOA and the function model on the intersection signal timing optimization.

关 键 词：交叉口信号控制 鲸鱼优化算法 信号配时优化 levy飞行 

分 类 号：U491.2[交通运输工程—交通运输规划与管理]