Back to Search Start Over

Characterizing the dynamics and uncertainty of queues at signalized intersections with left-turn bay.

Authors :
Yang, Qiaoli
Deng, Kang
Gao, Fengyang
Yu, Shaowei
Dou, Zufang
Zhang, Tingrong
Source :
Physica A. Aug2022, Vol. 599, pN.PAG-N.PAG. 1p.
Publication Year :
2022

Abstract

In most signalized intersections, in order to solve the problem of insufficient road space, left-turn bays are commonly set up at intersections with a shared through and left-turn lane. However, this design tends to result in the potential queue overflow and blockage problems, which further make the discharge process of either left-turn vehicles or through vehicles at the intersections to be interrupted unexpectedly during their respective green phase. As a result, the queueing processes of vehicles present high nonlinearity and uncertainty during a signal cycle. In this paper, a stochastic queueing model is proposed to characterize the dynamics and uncertainty of queues at signalized intersections with a left-turn bay. The proposed model takes full account of the random interaction between the through movement and the left-turn movement under the influence of overflow and blockage of queues. We obtain some average performance indicators as well as the signal-state-dependent dynamic performance measure of queues and its variance at any given time point within a signal cycle. The proposed analytical model is validated against the VISSIM simulation model under different scenarios; the results show a good degree of agreement. In addition, in order to systematically determine the queue dynamics and uncertainty, we also conduct a series of numerical simulations to quantitatively capture the queue characteristics of vehicles at signalized intersections with left-turn bay by considering possible factors. • Develop a stochastic model to describe the queues at signals with left-turn bay. • Random interactions between the different movements are focused. • Signal-state-dependent dynamic performance measures of queues are obtained. • Factors that can affect the queue dynamics are examined. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03784371
Volume :
599
Database :
Academic Search Index
Journal :
Physica A
Publication Type :
Academic Journal
Accession number :
157120269
Full Text :
https://doi.org/10.1016/j.physa.2022.127439