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Analysis on Link Travel Time Estimation considering Time Headway Based on Urban Road RFID Data

机译:基于城市道路RFID数据的时间前往链路行程时间估计分析

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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.
机译:在本文中,通过使用车辆通过城市链路的检测数据,首先在连续业务流中分析链路行程时间的计算方法,并通过考虑典型的车辆来提出用于估计链路行程时间的理论推导公式旅行时间和时间偏向上游和下游链接的主要参数。提出了一种基于链路行进时间相似性的典型车辆分析方法,分别优化了理论公式。然后,提出了基于最大行程时间相似性和基于最大行程置信区间相似性的估计公式的估计公式。最后,在分析拟合条件时,南京城市道路的收集数据用于验证基于射频识别装置的提出的行进时间估计方法。结果表明,当每小时车辆体积超过某个流动方向时,时间前往偏差会收敛到零,当时的车辆体积小于10?车辆/小时在某些流动方向。通过考虑典型的车辆行驶时间,基于典型的车辆行程估计的提出改进方法的准确性得到了显着改善,并且在相应的时期,道路段的典型车辆主要存在于交通排的尾部。

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