NDLI: Some features of car-following behaviour in the vicinity of signalised intersection and how to model them

Content Provider	IET Digital Library
Author	Zhang, Jian Tang, Tie qiao Wang, Tao
Abstract	In the context of urban traffic increasing, the study of driving behaviour in the vicinity of signalised intersection is emerging. Driving behaviour on the signalised road is different from the one on the highway due to the influence of signal lights. In this study, the authors analyse the trajectory data of Lankershim Boulevard from the next generation simulation (NGSIM) database. The car-following data are filtered to exclude the influences of lane changing. They analyse the driving data from both micro- and macro-perspectives. The quantitative relationship between acceleration and other factors, as well as the distribution of headway, are analysed. It is found that the statistic features of headway are in a discrepancy between different signal data. A simulation testbed is constructed, and two calibrated traditional car-following models are utilised to reproduce the driving behaviour at signalised intersections. The simulation results illustrate that the traditional models cannot be used to simulate traffic flow on the signalised road, i.e. they cannot describe the difference of headway under different signal states. Based on the data analyses, the authors propose a new car-following model with the consideration of signal status. The simulation results of the new model are in better agreement with the actual data.
Starting Page	1686
Ending Page	1693
Page Count	8
ISSN	1751956X
Volume Number	13
e-ISSN	17519578
Issue Number	Issue 11, Nov (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-its/13/11
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-its.2018.5510
Journal	IET Intelligent Transport Systems
Publisher Date	2019-07-12
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Actual Data Car-following Behaviour Car-following Data Data Analyses Driving Behaviour Driving Data Generation Simulation Database Macro-perspectives Road Traffic Signal Data Signal Lights Signal State Signalised Intersection Signalised Road Simulation Result Simulation Testbed Statistic Feature System Theory Application in Transportation Traditional Car Traditional Model Trajectory Data Urban Traffic Increasing
Content Type	Text
Resource Type	Article
Subject	Law Transportation Environmental Science Mechanical Engineering

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