首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于线圈数据的瓶颈点自动识别算法(英文)
引用本文:王超楠,李文权,童小龙,陈晨.基于线圈数据的瓶颈点自动识别算法(英文)[J].东南大学学报,2014(4):495-499.
作者姓名:王超楠  李文权  童小龙  陈晨
作者单位:东南大学交通学院,南京,210096
摘    要:提出了一种基于线圈数据的瓶颈点自动识别算法.算法以临界流量作为算法的触发变量,根据道路条件、服务水平和大型车比例计算临界流量.算法的识别程序包括2部分:首先通过计算当前占有率与前时刻占有率的相对差值来判定瓶颈点上游位置;然后通过计算上游占有率与下游占有率的相对差值确定瓶颈点下游的位置.此外,提出了基于数据集计周期、瓶颈点识别率和误判率的算法性能评价方法.利用上海市内环高架大柏树-广中路段的线圈数据进行试验,结果表明,瓶颈点自动识别算法在准确率和效率上有显著提高.

关 键 词:瓶颈点  线圈数据  占有率  流量

An automatic identification algorithm for freeway bottleneck based on loop detector data
Wang Chaonan,Li Wenquan,Tong Xiaolong,Chen Chen.An automatic identification algorithm for freeway bottleneck based on loop detector data[J].Journal of Southeast University(English Edition),2014(4):495-499.
Authors:Wang Chaonan  Li Wenquan  Tong Xiaolong  Chen Chen
Institution:, Wang Chaonan, Li Wenquan, Tong Xiaolong, Chen Chen ( School of Transportation, Southeast University, Nanjing 210096, China)
Abstract:A bottleneck automatic identification algorithm based on loop detector data is proposed. The proposed algorithm selects the critical flow rate as the trigger variable of the algorithm which is calculated by the road conditions the level of service and the proportion of trucks.The process of identification includes two parts. One is to identify the upstream of the bottleneck by comparing the distance between the current occupancy rate and the mean value of the occupancy rate and the variance of the occupancy rate.The other process is to identify the downstream of the bottleneck by calculating the difference of the upstream occupancy rate with that of the downstream.In addition the algorithm evaluation standards which are based on the time interval of the data the detection rate and the false alarm rate are discussed.The proposed algorithm is applied to detect the bottleneck locations in the Shanghai Inner Ring Viaduct Dabaishu-Guangzhong road section.The proposed method has a good performance in improving the accuracy and efficiency of bottleneck identification.
Keywords:bottleneck  loop detector data  occupancy rate  flow rate
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号