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Analysis on Link Travel Time Estimation considering Time Headway Based on Urban Road RFID Data
Journal of Advanced Transportation ( IF 2.0 ) Pub Date : 2021-04-13 , DOI: 10.1155/2021/8876626
Jian Gu 1, 2, 3 , Miaohua Li 4 , Linghua Yu 5 , Shun Li 2, 3 , Kejun Long 2, 3
Affiliation  

In this paper, the calculation method of the link travel time is firstly analysed in the continuous traffic flow by using the detection data collected when vehicles pass through urban links, and a theoretical derivation formula for estimating link travel time is proposed by considering the typical vehicle travel time and the time headway deviation upstream and downstream of the links as the main parameters. A typical vehicle analysis method based on link travel time similarity is proposed, and the theoretical formula is optimized, respectively. Then, an estimation formula based on maximum travel time similarity and an estimation formula based on maximum travel time confidence interval similarity are proposed, respectively. Finally, when analysing the fitting conditions, the collected data from urban roads in Nanjing are used to verify the proposed travel time estimation method based on the radio frequency identification devices. The results show that time headway deviation converges to zero when the hourly vehicle volume is more than 20 veh/h in the certain flow direction, and there are more positive and negative fluctuations when the hourly vehicle volume is less than 10 veh/h in the certain flow direction. The accuracy of the proposed improved method based on typical vehicle travel time estimation is significantly improved by considering the typical vehicle travel time, and typical vehicles on the road segment mainly exist at the tail of the traffic platoon in the corresponding period.

中文翻译:

基于城市道路RFID数据的考虑时距的路段行程时间估计分析

本文首先利用车辆经过城市路段时收集到的检测数据,分析了连续交通流中路段行驶时间的计算方法,并提出了一种典型车辆估算路段行驶时间的理论推导公式。行驶时间和链接上下游的时距偏差是主要参数。提出了一种基于路段行驶时间相似度的典型车辆分析方法,并对其理论公式进行了优化。然后,分别提出了基于最大行驶时间相似度的估计公式和基于最大行驶时间置信区间相似度的估计公式。最后,在分析拟合条件时,利用南京市区道路收集到的数据,对基于射频识别装置的行车时间估计方法进行了验证。结果表明,在一定的流向下,当小时车流量大于20 veh / h时,时空偏差收敛为零;当小时车流量小于10 veh / h时,时空偏差趋于正向和负向波动。一定的流向。通过考虑典型车辆行驶时间,提出的基于典型车辆行驶时间估计的改进方法的准确性得到了显着提高,并且该路段上的典型车辆主要存在于相应时期的交通排的尾部。结果表明,在一定的流向下,当小时车流量大于20 veh / h时,时空偏差收敛为零;当小时车流量小于10 veh / h时,时空偏差趋于正向和负向波动。一定的流向。通过考虑典型车辆行驶时间,提出的基于典型车辆行驶时间估计的改进方法的准确性得到了显着提高,并且该路段上的典型车辆主要存在于相应时期的交通排的尾部。结果表明,在一定的流向下,当小时车流量大于20 veh / h时,时空偏差收敛为零;当小时车流量小于10 veh / h时,时空偏差趋于正向和负向波动。一定的流向。通过考虑典型车辆行驶时间,提出的基于典型车辆行驶时间估计的改进方法的准确性得到了显着提高,并且该路段上的典型车辆主要存在于相应时期的交通排的尾部。
更新日期:2021-04-13
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