1. Traffic and Transportation Engineering College, Changsha University of Science and Technology, Changsha Hunan 410114, China;
2. Changsha Traffic Police Detachment, Changsha Municipal Public Security Bureau, Changsha Hunan 410012, China
Traffic Analysis and OD Travel Time Matrix Based on Two-fluid Model
LU Shou-feng1, WANG Jie1, XUE Zhi-gui2, LIU Xi-min1
1. Traffic and Transportation Engineering College, Changsha University of Science and Technology, Changsha Hunan 410114, China;
2. Changsha Traffic Police Detachment, Changsha Municipal Public Security Bureau, Changsha Hunan 410012, China
摘要The traditional four-step traffic demand forecast model is limited by the long processing time and high cost of OD matrix investigation. A dynamic traffic assignment model is difficult to establish for a large-scale network. To obtain the traffic character and quickly search the shortest path of different zones for dynamic route guidance, we analyze travel distance and travel time using taxi GPS data, fit the travel time and stop time relation curve, and propose a method of traffic analysis using the two-fluid curve. We find that the bandwidth of the two-fluid curves is valuable for traffic operation and guidance. Subsequently, we analyze the relationship between unit distance travel time and unit distance stop time of different zones. The results verify that the sensitivity of different traffic zones varies. Finally, matrix iteration is used to calculate the shortest travel time path under different unit distance stop times, and the OD travel time matrix is analyzed. The findings indicate that the two-fluid method can be used for dynamic route guidance.
Abstract:The traditional four-step traffic demand forecast model is limited by the long processing time and high cost of OD matrix investigation. A dynamic traffic assignment model is difficult to establish for a large-scale network. To obtain the traffic character and quickly search the shortest path of different zones for dynamic route guidance, we analyze travel distance and travel time using taxi GPS data, fit the travel time and stop time relation curve, and propose a method of traffic analysis using the two-fluid curve. We find that the bandwidth of the two-fluid curves is valuable for traffic operation and guidance. Subsequently, we analyze the relationship between unit distance travel time and unit distance stop time of different zones. The results verify that the sensitivity of different traffic zones varies. Finally, matrix iteration is used to calculate the shortest travel time path under different unit distance stop times, and the OD travel time matrix is analyzed. The findings indicate that the two-fluid method can be used for dynamic route guidance.
基金资助:Supported by the National Natural Science Foundation of China (No.71071024); the Hunan Natural Science Foundation (No. 12JJ2025); and the Key Project of Changsha Science and Technology Bureau (No.K1106004-11)
通讯作者:
LU Shou-feng,E-mail address:itslu@126.com
E-mail: itslu@126.com
引用本文:
卢守峰, 王杰, 薛智规, 刘喜敏. 基于二流体模型的交通分析及OD出行时间矩阵[J]. Journal of Highway and Transportation Research and Development, 2016, 10(3): 78-84.
LU Shou-feng, WANG Jie, XUE Zhi-gui, LIU Xi-min. Traffic Analysis and OD Travel Time Matrix Based on Two-fluid Model. Journal of Highway and Transportation Research and Development, 2016, 10(3): 78-84.
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