首页|考虑方案间过渡影响的Kagscv-DBSCAN单点交通控制时段划分方法

考虑方案间过渡影响的Kagscv-DBSCAN单点交通控制时段划分方法

扫码查看
为提高单点交通控制时段划分准确性,首先提出一种基于KD-tree加速搜索并利用GridsearchCV进行超参数寻优的kagscv-DBSCAN算法用来求解基于检测器自然数据的时段划分初步方案,并加入了对方案间过渡的考虑对初步方案进行修正.最后,以车总延误、交叉口通行能力和运算速度为评价指标进行实际案例分析并与传统方法进行了对比.结果表明:所提方法对比K-means、PAW、FCM和RSAGA-FCM在车总延误方面分别降低8.69%、6.61%、3.68%和1.04%,通行能力提升效率分别为5.67%、5.07%、3.48%、1.69%,并在运算速度上具备明显优势.
Time of Interval Partition for Traffic Control at Isolated Intersection Considering Impacts of Plan Transition Based on Kagscv-DBSCAN
In order to improve the precision of time interval partition at an isolated control intersection,a kagscv-DBSCAN algo-rithm based on KD-tree accelerated search and hyperparametric optimization using GridsearchCV was firstly proposed to solve the pre-liminary time of interval partition plan based on natural data of detectors,and was modified by adding the consideration of impacts of plan transition.Finally,the total vehicle delay,intersection capacity and computational speed were used as evaluation indexes for prac-tical case analysis and comparison with traditional methods.The results show that the proposed method reduces the total vehicle delay by 8.69%,6.61%,3.68%and 1.04%,respectively,and improves the capacity by 5.67%,5.07%,3.48%and 1.69%,respec-tively,compared with K-means,PAW,FCM and RSAGA-FCM,and has a significant advantage in computing speed.

engineering of communications and transportation systemsignal controltime of interval partitionclustering algo-rithmplan transition

姚辰达、王景升、杨政陶、葛帅杰

展开 >

中国人民公安大学交通管理学院,北京 100038

中国人民公安大学侦查学院,北京 100038

交通运输系统工程 信号控制 时段划分 聚类算法 方案过渡

中国人民公安大学交通管理工程双一流创新研究专项

2023SYL09

2024

科学技术与工程
中国技术经济学会

科学技术与工程

CSTPCD北大核心
影响因子:0.338
ISSN:1671-1815
年,卷(期):2024.24(4)
  • 12