@article{ref1,
title="Left-turn spillback probability estimation in a connected vehicle environment",
journal="Transportation research record",
year="2019",
author="Wang, Xiubin and Zhang, Yunlong and Jiao, Jian and Cao, Xiaowei",
volume="2673",
number="4",
pages="753-761",
abstract="At intersections in which the left-turn bay does not have sufficient length or the left-turn volume is relatively high, left-turn vehicles may spill back and block the adjacent through traffic. This paper aims to develop quantitative measures of the left-turn spillback, and by using the results on spillback probability, develop a suitable signal control strategy. We first develop an improved queue length estimation method for vehicles in the left-turn bay based on Comert and Cetin's general queue length estimation method with connected vehicles, after which we propose a probabilistic model to measure the left-turn spillback probability at an intersection in a connected environment. The model accuracy is validated with results from microscopic traffic simulation. The effect of bay length is also studied. In the end, a signal control demonstration is presented to show the efficiency of the proposed method in signal control.<p /> <p>Language: en</p>",
language="en",
issn="0361-1981",
doi="10.1177/0361198119837178",
url="http://dx.doi.org/10.1177/0361198119837178"
}