Improved Car-following Model Considering Mixed Traffic Flow on Queue Discharge at Signalized Intersections

被引：0
|
作者：
Wang Y. [1 ,2 ]
Rong J. [1 ,2 ]
Zhou C.-J. [3 ]
Gao Y.-C. [1 ,2 ]
Liu S.-Y. [1 ,2 ]
机构：
[1] College of Metropolitan Transportation, Beijing University of Technology, Beijing
[2] Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing
[3] School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing
来源：
Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology | 2020年 / 20卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Car-following model; Mixed traffic flow; Queue discharge; Signalized intersections; Traffic engineering;
D O I：
10.16097/j.cnki.1009-6744.2020.03.011
中图分类号：
学科分类号：
摘要：
The Full Velocity Difference Model(FVD) had been calibrated and verified based on the real traffic data to reflect the car-following behavior of the mixed traffic flow at the intersection approach during the signal green time. However, the simulation results showed big gaps on acceleration, speed and vehicle spacing by using the FVD model. This study considered the differences of vehicle types and driver's behavior at four scenarios: car following car, car following bus, bus following car, and bus following bus, and then developed a new car-following model. The analysis results show that the performance of the proposed model has been significantly improved, and the Root Mean Square Percentage Errors (RMSPE) of speed and vehicle space are 15.29% and 22.32%, respectively, which are lower than the FVD model results. The improved model performs better than the FVD model in describing the car-following behavior at approaches of signalized intersections. Copyright © 2020 by Science Press.
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页码：67 / 74
页数：7
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