NDLI: Cellular automaton simulation of vehicles in the contraflow left-turn lane at signalised intersections

Content Provider	IET Digital Library
Author	Chen, Qun Yi, Jiaxuan Wu, Yuli
Abstract	To improve the capacity of signalised intersections for left-turn vehicles, an unconventional left-turn design named the contraflow left-turn lane is applied at intersections in several cities of China. The main concept of the design is to provide more capacity for left-turn vehicles by dynamically making use of the adjacent opposite lanes. In this study, a cellular automaton model that simulates left-turn traffic flow at a signalised intersection with a contraflow left-turn lane was developed and verified by field data. Rules for vehicles entering the contraflow left-turn lane were proposed, and various factors including the vehicle type, driver type, and the ratio of U-turn vehicles were considered. The simulation results showed that the contraflow left-turn lane could increase the capacity of the intersection and decrease the delay of left-turn vehicles. Also, the optimal match between the length of the contraflow left-turn lane and the duration of the pre-signal green light can be evaluated via simulation. This study can provide a reference for the actual application of contraflow left-turn lanes.
Starting Page	1164
Ending Page	1172
Page Count	9
ISSN	1751956X
Volume Number	13
e-ISSN	17519578
Issue Number	Issue 7, Jul (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-its/13/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-its.2018.5451
Journal	IET Intelligent Transport Systems
Publisher Date	2019-03-18
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Automata Theory Cellular Automata Cellular Automaton Simulation China Computer Simulation Contraflow Left-turn Lane Driver Type Field Data Formal Method Formal Verification Left-turn Traffic Flow Simulation Left-turn Vehicle Road Traffic Signalised Intersection Traffic Engineering Computing U-turn Vehicle Ratio Vehicle Type
Content Type	Text
Resource Type	Article
Subject	Law Transportation Environmental Science Mechanical Engineering

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