摘要
定义了交通微循环支路交叉口上各进口道左转与直行车流的阻抗函数,其与交叉口上所有进口道左转与直行车流量有关;以最小化总行驶时间为目标,考虑支路通行能力约束及微循环交通组织优化方案下的驾驶员路径选择行为,建立了双层规划模型,对城市微循环交通组织进行优化;介绍了对模型求解的遗传算法;并进行了算例计算,得到车流组织优化方案,验证了模型与算法的有效性。
The impedance functions for left-turning and going-straight vehicle flows at each entrance lane of the branch road intersections of micro-circulation transportation were defined, which were related to the amount of left-turning and goingstraight vehicle flows at the intersection of each entrance lane. With the objective to minimize the total travel time of vehicles, the bi-level programming model was established for micro-circulation traffic organization optimization, considering the capacity constraint of branch roads and route choices of drivers under a given traffic organization optimization scheme. The solution scheme using genetic algorithm was introduced. In a numerical example, the traffic flow organization optimization scheme was obtained, and the effectiveness of the proposed model and algorithm was verified.
出处
《重庆交通大学学报（自然科学版）》
CAS
北大核心
2016年第3期110-114,共5页
Journal of Chongqing Jiaotong University(Natural Science)
基金
国家社会科学基金项目(13CGL001)
关键词
交通运输工程
城市交通
交通微循环
双层规划
交通组织
traffic and transportation engineering
urban traffic
micro-circulation transportation
hi-level programming
traffic organization
