首页|基于浮动车轨迹数据的干线信号协调配时优化

基于浮动车轨迹数据的干线信号协调配时优化

扫码查看
为了提高城市干线的通行效率,缩短车辆在干线行驶时的平均延误,基于浮动车轨迹数据提出一种城市干线交通信号协调控制优化方法.该方法根据浮动车采集的时空轨迹数据,使用最大期望算法对混合车流(浮动车和其他车辆)到达率进行预测.结合信号状态,通过计算干线道路上、下行双向饱和度,以总延误最短为优化目标建立了干线协调配时优化算法,并采用遗传算法进行求解.以合肥市黄山路路段为例,比较无协调控制、传统定时协调控制和基于轨迹数据的信号协调控制.结果表明,所提供的方案可有效缩短干线交叉口车辆总延误,减少燃油消耗.
Coordinated timing optimization for arterial road based on floating vehicle trajectory data
In order to improve the efficiency of urban arterials and reduce the average delay of vehicles traveling on arterials,an optimization method for coordinated traffic signal control on urban arterials was proposed based on the trajectory data of floating vehicles.The method used a maximum expectation algorithm to predict the arrival rate of mixed traffic(floating and other vehicles)based on the spatiotemporal trajectory data collected by floating vehicles.Combined with the signal states,the arterial coordinated timing optimization method was established by calculating the saturation degree of arterial roads in both directions,both upward and downward,with the lowest total delay as the optimization objective,and solved by using genetic algorithm.Taking the Huangshan Road of Hefei as an example,the uncoordinated control,traditional timing coordinated control and trajectory data-based signal coordinated control were compared.The results show that the provided scheme can effectively reduce the total vehicle delays and fuel consumption of vehicles at arterial intersections.

arterial signal controlvehicle trajectory datavehicle-road cooperationcoordinated controlmaximum expectation algorithm

杨伟、沈国栋、龙光、钱宇、丁恒

展开 >

安徽省交通规划设计研究总院股份有限公司,安徽合肥 230088

合肥工业大学汽车与交通工程学院,安徽合肥 230009

干线信号控制 车辆轨迹数据 车路协同 协调控制 最大期望算法

国家自然科学基金安徽省住房城乡建设科学技术计划合肥市自然科学基金

520721082022-YF1452022020

2024

广西大学学报(自然科学版)
广西大学

广西大学学报(自然科学版)

CSTPCD北大核心
影响因子:0.767
ISSN:1001-7445
年,卷(期):2024.49(1)
  • 24