浙江大学学报(理学版)2016,Vol.43Issue(4):481-491,11.DOI:10.3785/j.issn.1008-9497.2016.04.016
波阵面视角下的车辆拥堵分析
Vehicle congestion from the perspective of wave front
摘要
Abstract
This paper studied the complexity of the vehicle motion and the essence of the dynamic vehicle queue length based on the traffic video data .According to the traffic flow wave theory ,vehicle‐following theory ,hydrome‐chanics theory ,etc , the method based on the propagation of wave surface to describe the queuing process was applied ,and a queue length calculation model named Vehicle Queuing Length dynamic Model (VQLM ) was proposed .To reduce the error during the transformation from video to reality ,we introduced a calibration method which adopted passenger car unit(PCU) to recover the reality by‐recursire iteration .Preliminary results show that the VQLM is more accurate and pragmatic in calculating the vehicle queue length than other methods based on single theories .According to the experiments ,the average vehicle queuing length error is reduced to -3 .029% i e. .,when the distance error is within 10 m (2 PCU which are both 5 m long );The time error is 7 s (signal cycle length is 60 s) .Moreover ,VQLM accounts more about the subjectivity of the drivers ,traffic intensity of the road and node‐set function of traffic wave ,etc .关键词
交通波理论/通行强度/波阵面传播/排队过程/数据还原Key words
traffic flow wave theory/traffic intensity/propagation of wave surface/queuing process/data restore分类
数理科学引用本文复制引用
邵江,胡晓晓,白宝钢,王长红,朱晨杰,陈军华..波阵面视角下的车辆拥堵分析[J].浙江大学学报(理学版),2016,43(4):481-491,11.基金项目
浙江省自然科学基金资助项目(LY13H180012);浙江省大学生科技创新活动计划项目(2014R413004). ()