Analysis on the Prewarning Distance of Expressway Traffic Based on Lane-Selection Cell Transmission Model

Lane-changing prewarning is an active management measure used to mitigate the impact of incidents on expressways. This measure affects the operational efficiency and safety of traffic flow upstream of the incident location. To evaluate the effectiveness of this measure in mitigating incident-induced...

Full description

Saved in:
Bibliographic Details
Main Authors: Yunteng Chen, Liang Zhao, Yong Zhang, Jiexin Zhou, Liang Yao, Hongwei Lou
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2023/6672303
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832547886703837184
author Yunteng Chen
Liang Zhao
Yong Zhang
Jiexin Zhou
Liang Yao
Hongwei Lou
author_facet Yunteng Chen
Liang Zhao
Yong Zhang
Jiexin Zhou
Liang Yao
Hongwei Lou
author_sort Yunteng Chen
collection DOAJ
description Lane-changing prewarning is an active management measure used to mitigate the impact of incidents on expressways. This measure affects the operational efficiency and safety of traffic flow upstream of the incident location. To evaluate the effectiveness of this measure in mitigating incident-induced congestion and enhancing traffic safety, it is essential to model and simulate traffic flow on expressways, followed by analyzing the simulation results. In this study, we use the lane-changing selection cell transmission model (ls-CTM) to investigate the impact of setting lane-changing prewarning information on expressway traffic flow. By enhancing the composition of flow within the diverging cell in CTM, traffic can determine its downstream direction based on lane-changing probability rather than the path. A case study was conducted to investigate the impact of prewarning distances of 50, 100, and 150 m on road operational efficiency and traffic safety under different traffic volumes. The effectiveness and applicability of three measures to improve traffic safety were also summarized. The research results can provide more rigorous and effective decision-making support for expressway traffic management and control.
format Article
id doaj-art-f165de7488844c648abebbfca33ff8be
institution Kabale University
issn 1687-8094
language English
publishDate 2023-01-01
publisher Wiley
record_format Article
series Advances in Civil Engineering
spelling doaj-art-f165de7488844c648abebbfca33ff8be2025-02-03T06:43:12ZengWileyAdvances in Civil Engineering1687-80942023-01-01202310.1155/2023/6672303Analysis on the Prewarning Distance of Expressway Traffic Based on Lane-Selection Cell Transmission ModelYunteng Chen0Liang Zhao1Yong Zhang2Jiexin Zhou3Liang Yao4Hongwei Lou5Shaoxing Communications Investment Group Co., Ltd.Shaoxing Communications Investment Group Co., Ltd.Shaoxing Communications Investment Group Co., Ltd.Shaoxing Communications Investment Group Co., Ltd.Alibaba Cloud Computing Co. Ltd.Alibaba Cloud Computing Co. Ltd.Lane-changing prewarning is an active management measure used to mitigate the impact of incidents on expressways. This measure affects the operational efficiency and safety of traffic flow upstream of the incident location. To evaluate the effectiveness of this measure in mitigating incident-induced congestion and enhancing traffic safety, it is essential to model and simulate traffic flow on expressways, followed by analyzing the simulation results. In this study, we use the lane-changing selection cell transmission model (ls-CTM) to investigate the impact of setting lane-changing prewarning information on expressway traffic flow. By enhancing the composition of flow within the diverging cell in CTM, traffic can determine its downstream direction based on lane-changing probability rather than the path. A case study was conducted to investigate the impact of prewarning distances of 50, 100, and 150 m on road operational efficiency and traffic safety under different traffic volumes. The effectiveness and applicability of three measures to improve traffic safety were also summarized. The research results can provide more rigorous and effective decision-making support for expressway traffic management and control.http://dx.doi.org/10.1155/2023/6672303
spellingShingle Yunteng Chen
Liang Zhao
Yong Zhang
Jiexin Zhou
Liang Yao
Hongwei Lou
Analysis on the Prewarning Distance of Expressway Traffic Based on Lane-Selection Cell Transmission Model
Advances in Civil Engineering
title Analysis on the Prewarning Distance of Expressway Traffic Based on Lane-Selection Cell Transmission Model
title_full Analysis on the Prewarning Distance of Expressway Traffic Based on Lane-Selection Cell Transmission Model
title_fullStr Analysis on the Prewarning Distance of Expressway Traffic Based on Lane-Selection Cell Transmission Model
title_full_unstemmed Analysis on the Prewarning Distance of Expressway Traffic Based on Lane-Selection Cell Transmission Model
title_short Analysis on the Prewarning Distance of Expressway Traffic Based on Lane-Selection Cell Transmission Model
title_sort analysis on the prewarning distance of expressway traffic based on lane selection cell transmission model
url http://dx.doi.org/10.1155/2023/6672303
work_keys_str_mv AT yuntengchen analysisontheprewarningdistanceofexpresswaytrafficbasedonlaneselectioncelltransmissionmodel
AT liangzhao analysisontheprewarningdistanceofexpresswaytrafficbasedonlaneselectioncelltransmissionmodel
AT yongzhang analysisontheprewarningdistanceofexpresswaytrafficbasedonlaneselectioncelltransmissionmodel
AT jiexinzhou analysisontheprewarningdistanceofexpresswaytrafficbasedonlaneselectioncelltransmissionmodel
AT liangyao analysisontheprewarningdistanceofexpresswaytrafficbasedonlaneselectioncelltransmissionmodel
AT hongweilou analysisontheprewarningdistanceofexpresswaytrafficbasedonlaneselectioncelltransmissionmodel