Optimal allocation model of signalized intersections with dynamic use of exit lanes for left turn  

信控交叉口逆向可变车道最优分配模型

作　　者：Qu Zhaowei Qi Xingzu Chen Yongheng Bai Qiaowen Tao Chuqing Liu Fanghong 曲昭伟;奇兴族;陈永恒;白乔文;陶楚青;刘芳宏(吉林大学交通学院,长春130022)

机构地区：[1]School of Transportation, Jilin University, Changchun 130022, China

出　　处：《Journal of Southeast University(English Edition)》2020年第2期213-219,共7页东南大学学报（英文版）

基　　金：The Natural Science Foundation of Jilin Province(No.20190201107JC);the National Key Research and Development Program of China(No.2019YFB1600500)。

摘　　要：In order to improve the operational efficiency of heavy left-turn demand intersections,an optimal allocation model of an intersection with dynamic use of exit lanes for left turns(EFL)is proposed.The constraints of setting EFL are analyzed,including the number and length of reverse variable lanes,flow direction constraints,and signal constraints,etc.The constraints and control variables are combined in a unified framework for simultaneous optimization.The objective functions are defined as the average delay and left-turn capacity of an intersection.The model is solved by a non-dominated genetic algorithm(NSGA-Ⅱ).The results show that after the optimal allocation of EFL,the average vehicle delays of the intersection can be reduced by 14.9%and left-turn capacity can be increased by 19.3%.The effectiveness of the optimal allocation model of EFL is demonstrated.为了提高左转交通量较大的交叉口的运行效率,提出了逆向可变车道(EFL)最优分配模型.通过分析设置逆向可变车道的约束条件,包括逆向可变车道的数量和长度、流量流向约束、信号约束等,将约束条件及控制变量组合在一个统一的框架中同步优化.将交叉口的车均延误和左转通行能力作为目标函数,通过非支配排序的遗传算法(NSGA-Ⅱ)求解模型.结果表明,对逆向可变车道进行最优分配后,交叉口的车均延误可以减少14.9%,左转通行能力可以提高19.3%,验证了逆向可变车道最优分配模型的有效性.

关 键 词：traffic engineering exit lane for left turn signaled intersection multi-objective optimization 

分 类 号：U491[交通运输工程—交通运输规划与管理]