1. School of Transportation Science and Engineering, Beihang University, Beijing 100191, China;
2. Research Institute of Highway, Ministry of Transport, Beijing 100088, China
Estimation of Travel Time Based on Vehicle Platoons on Saturated Urban Arterial Roads
YU Gui-zhen1, LIU Yu-min1, WANG Yun-peng1, YANG Can1, LI Bin2
1. School of Transportation Science and Engineering, Beihang University, Beijing 100191, China;
2. Research Institute of Highway, Ministry of Transport, Beijing 100088, China
摘要Because of the aggressive and saturated traffic on the current urban arterials, traffic congestion often occurs, traffic lights periodically interrupt traffic, resulting that vehicles frequently block upstream intersections. However, the traditional continuous traffic flow models are unable to estimate the travel time on saturated urban arterial roads with stop-and-go traffic flow. In view of this, an innovative algorithm for arterial roads travel time estimation based on vehicle platoons is proposed to meet the timing requirements of interrupted traffic flow. Using high-resolution and real-time traffic data acquired by existing detectors on a road, research efforts are devoted to discriminating and matching platoons, thus attaining the goal of estimating the travel time on saturated urban arterials. Simulation studies based on Q-Paramics show ideal results after comparison between the estimated results of the proposed algorithm and observed results of the simulation model. The results prove the rationality and validity of the algorithm. Thereby the paper provides an academic basis for researching the state of traffic on saturated urban arterials.
Abstract：Because of the aggressive and saturated traffic on the current urban arterials, traffic congestion often occurs, traffic lights periodically interrupt traffic, resulting that vehicles frequently block upstream intersections. However, the traditional continuous traffic flow models are unable to estimate the travel time on saturated urban arterial roads with stop-and-go traffic flow. In view of this, an innovative algorithm for arterial roads travel time estimation based on vehicle platoons is proposed to meet the timing requirements of interrupted traffic flow. Using high-resolution and real-time traffic data acquired by existing detectors on a road, research efforts are devoted to discriminating and matching platoons, thus attaining the goal of estimating the travel time on saturated urban arterials. Simulation studies based on Q-Paramics show ideal results after comparison between the estimated results of the proposed algorithm and observed results of the simulation model. The results prove the rationality and validity of the algorithm. Thereby the paper provides an academic basis for researching the state of traffic on saturated urban arterials.
基金资助:Supported by the National Natural Science Foundation of China(No.51278021);and the National High-tech R&D Program of China(863 Program)(No.2011AA110306)
余贵珍, 刘玉敏, 王云鹏, 杨灿, 李斌. 基于车辆队列的饱和状态下城市主干道旅行时间估算方法[J]. Journal of Highway and Transportation Research and Development, 2013, 7(4): 78-86.
YU Gui-zhen, LIU Yu-min, WANG Yun-peng, YANG Can, LI Bin. Estimation of Travel Time Based on Vehicle Platoons on Saturated Urban Arterial Roads. Journal of Highway and Transportation Research and Development, 2013, 7(4): 78-86.
[1] GARTNER N H, MESSER C, RATHI A K. Monograph on Traffic Flow Theory[M]. Washington, D. C.:Federal Highway Administration, 1996.
[2] CASSIDY M J, BERTINI R L. Some Traffic Features at Freeway Bottlenecks[J]. Transportation Research B, 1999, 33(1):25-42.
[3] MAY A D. Traffic Flow Fundamentals[M]. Englewood Cliffs, NJ:Prentice-Hall, 1990.
[4] ZHANG H M. Link-journey-speed Model for Arterial Traffic[J]. Transportation Research Record, 1999, 1676:109-115.
[5] BARAS J S, LEVINE W S, LIN T S. Discrete Time Point Processes in Urban Traffic Queue Estimation[J]. IEEE Transactions on Automatic Control, 1979, AC2(1):12-27.
[6] KWON J, COIFMAN B, BICKEL P. Day-to-day Travel Time Trends and Travel Time Prediction from Loop Detector Data[J]. Transportation Research Record, 2000, 1717:120-129.
[7] SKABARDONIS A, GEROLIMINIS N. Real-time Estimation of Travel Times along Signalized Arterials[C]//Proceedings of 16th International Symposium of Transportation and Traffic Theory (ISTTT), New York:Elsevier, 2005:387-406.
[8] LIU H, MA W. A Virtual Probe Approach for Time-dependent Arterial Travel Time Estimation[J]. Transportation Research Part C, 2009, 17(1):11-26.
[9] JI Xiao-feng. An Overview on Methods of Urban Road Traffic State Analysis and Their Prospect[J]. Road Traffic & Safety, 2008, 8(3):11-15. (in Chinese)
[10] BAN Xue-gang, HAO Peng, SUN Zhan-bo. Real Time Queue Length Estimation for Signalized Intersections Using Travel Times from Mobile Sensors[J]. Transportation Research Part C:Emerging Technologies, 2011, 19(6):1133-1156.
[11] KWONG K, KAVALER R. Arterial Travel Time Estimation Based on Vehicle Re-Identification Using Wireless Magnetic Sensors[J].Transportation Research Part C:Emerging Technologies, 2009, 17(6):586-606.
[12] SHENG Peng, ZHAO Shu-long, SONG Wan-zhong, et al. Research of Traffic Application Based on Travel Time Detection System[J]. Journal of Computer Applications, 2007, 27(11):2634-2636. (in Chinese)
[13] WEI Ming, JIN Wen-dan, SUN Bo. Model and Algorithm for Regional Bus Scheduling with Stochastic Travel Time[J]. Journal of Highway and Transportation Research and Development, 2011, 28(10):124-129. (in Chinese)
[14] LI Yu-guang, LI Qing-quan. Huge Volume Floating Car Data Express Processing Based on Vector Road Map Rasterization[J]. Journal of Highway and Transportation Research and Development, 2010, 27(3):136-141. (in Chinese)
[15] LIU H X, WU Xinkai, MA Wenteng, et al. Real-time Queue Length Estimation for Congested Signalized Intersections[J].Transportation Research, 2009, (17):413-429.
[16] DORSEY A J, LEVINE W S. Estimation of Traffic Platoon Structure from Headway Statistics[J]. Transactions on Automatic Control, 1979, (17):697-703.
[17] LIN D, KINNEY L, KUMAR K. Platoon Modeling for Traffic Control[C]//Proceedings of 16th IEEE Conference. New York:IEEE, 1977:998-1003.
[1]
李高盛, 彭玲, 李祥, 吴同. 基于LSTM的城市公交车站短时客流量预测研究[J]. Journal of Highway and Transportation Research and Development, 2019, 13(2): 65-72.
[2]
胡宝雨, 赵琥, 孙祥龙, 王弟鑫, 刘宁. 城市公交与农村客运同步换乘模型研究[J]. Journal of Highway and Transportation Research and Development, 2019, 13(2): 73-79.
[3]
郭建科, 邱煜焜, 白家圆, 王利. 基于城市公共交通可达性的医疗服务空间分异及均等化研究——以大连市为例[J]. Journal of Highway and Transportation Research and Development, 2019, 13(2): 80-89.
[4]
赵妮娜, 赵晓华, 林展州, 葛书芳. 主线分流互通立交指路标志版面形式研究[J]. Journal of Highway and Transportation Research and Development, 2019, 13(2): 90-102.
[5]
姜明, 陈艳艳, 冯移冬, 周瑞. 路侧示警桩设置关键指标研究[J]. Journal of Highway and Transportation Research and Development, 2019, 13(1): 79-87.
[6]
蔡静, 刘莹, 张明辉. 京津冀货物运输结构调整策略研究[J]. Journal of Highway and Transportation Research and Development, 2019, 13(1): 88-93.
[7]
常云涛, 王奕彤. 连续流交叉口信号配时优化模型[J]. Journal of Highway and Transportation Research and Development, 2018, 12(4): 66-74.
[8]
林丽, 冯辉, 朱泳旭. 基于Ring-Barrier相位的干线公交协调控制[J]. Journal of Highway and Transportation Research and Development, 2018, 12(4): 85-91.
[9]
胡祖平, 何建佳. 基于网络可靠性的街区开放适宜度研究[J]. Journal of Highway and Transportation Research and Development, 2018, 12(4): 51-58.
[10]
陈红, 马晓彤, 赵丹婷. 基于元胞自动机的破损路面车辆换道仿真研究[J]. Journal of Highway and Transportation Research and Development, 2018, 12(4): 75-84.
[11]
李新, 毛剑楠, 骆晨, 刘澜. 基于MFD的路网可扩展边界控制方法研究[J]. Journal of Highway and Transportation Research and Development, 2018, 12(4): 59-65.
[12]
郝丽, 胡大伟, 李晨. T-JIT环境下企业供应链中采购管理供应商选择和订单分配研究[J]. Journal of Highway and Transportation Research and Development, 2018, 12(3): 80-89.
[13]
姚佼, 徐洁琼, 倪屹聆. 城市干道多时段协调控制优化研究[J]. Journal of Highway and Transportation Research and Development, 2018, 12(3): 60-70.
[14]
潘兵宏, 余英杰, 武生权, 严考权. 基于UC-win/Road仿真的高速公路出口预告标志前置距离研究[J]. Journal of Highway and Transportation Research and Development, 2018, 12(3): 71-79.
[15]
何南, 李季涛. 考虑运输方式间影响关系的公路客运交通需求预测[J]. Journal of Highway and Transportation Research and Development, 2018, 12(3): 90-96.
2013, Vol. 7 
