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Examining queue-jumping phenomenon in heterogeneous traffic stream at signalized intersection using UAV-based data
Personal and Ubiquitous Computing ( IF 3.006 ) Pub Date : 2020-08-08 , DOI: 10.1007/s00779-020-01434-y
Afzal Ahmed , Fatma Outay , Syeda Ofaq Raza Zaidi , Muhammad Adnan , Dong Ngoduy

This research presents an in-depth microscopic analysis of heterogeneous and undisciplined traffic at the signalized intersection. Traffic data extracted from the video recorded using an unmanned aerial vehicle (UAV) at an approach of a signalized intersection is analyzed to study the within green time dynamics of traffic flow. Various parameters of Wiedemann 74, Wiedemann 99, and lateral behavior models used in microscopic traffic simulation package, Vissim, are calibrated for the local heterogeneous traffic. This research is aimed at exploring the queue-jumping phenomenon of motorbikes at signalized intersections and its impact on the saturation flow rate, travel time, and delay. The study of within green time flow dynamics shows that the flow of traffic within green time is not uniform. Surprisingly, the results indicate that the traffic flow for the first few seconds of the green time is significantly higher than the remaining period of green time, which shows a contradiction to the fact that traffic flow for the first few seconds is lower due to accelerating vehicles. Mode-wise traffic counted per second shows that this anomaly is attributed to the presence of motorbikes in front of the queue. Consequently, the outputs of simulation results obtained from calibrated Vissim show that the simulated travel time for motorbikes is significantly lower than the field-observed travel times even though the average simulated traffic flow matches accurately with the field-observed traffic flow. The findings of this research highlight the need to incorporate the queue-jumping behavior of motorbikes in the microsimulation packages to enhance their capability to model heterogeneous and undisciplined traffic.



中文翻译:

使用基于无人机的数据检查信号交叉口异构交通流中的跳跃现象

这项研究对信号交叉口的异构交通和非规则交通进行了深入的微观分析。分析从在信号交叉路口使用无人飞行器(UAV)录制的视频中提取的交通数据,以研究交通流的绿色时间动态。Wiedemann 74,Wiedemann 99的各种参数以及微观交通模拟软件包Vissim中使用的横向行为模型已针对本地异构交通进行了校准。这项研究旨在探讨信号交叉口的摩托车排队现象及其对饱和流量,行驶时间和延误的影响。对绿色时间段内的流量动力学的研究表明,绿色时间段内的交通流量不是均匀的。出奇,结果表明,果岭时间的前几秒钟的交通流量明显高于果岭时间的剩余时间,这与以下事实矛盾:由于车辆加速,前几秒的交通流量较低。每秒计数的模式流量表明,此异常归因于队列前面存在摩托车。因此,从校准的Vissim获得的模拟结果输出表明,即使平均模拟交通流量与现场观察交通流量准确匹配,摩托车的模拟行驶时间也明显低于现场观察的行驶时间。

更新日期:2020-08-08
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