Study on Variable Speed Limit Control Strategy of Highway under Intelligent Connected Environment

<div class="section abstract"><div class="htmlview paragraph">This paper presents a novel variable speed limit control strategy based on an Improved METANET model aimed at addressing traffic congestion in the bottleneck areas of expressways while considering the impact of an intelligent connected environment. Traffic flow simulation software was employed to compare the outcomes of the traditional variable speed limit model with those derived from the proposed strategy. The results indicated that under three scenarios—main road, ramp, and lane closure—with a 100% penetration rate of intelligent connected vehicles, the average delay for vehicles utilizing the new model decreased by 9.37%, 11.11%, and 7.22%, respectively. This study offers an innovative approach to highway variable speed limits under an intelligent connected environment.</div></div>

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Publication Details

Journal
SAE technical papers on CD-ROM/SAE technical paper series
Published
2025-02-20
DOI
https://doi.org/10.4271/2025-01-7189
Primary Topic
Traffic control and management
Type
article
Field-Weighted Citation Impact
0.00
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article

Study on Variable Speed Limit Control Strategy of Highway under Intelligent Connected Environment

Xiaomei Qu, T. Y. Qi, Haiyan Gu, Z. F. Sang et al.
SAE technical papers on CD-ROM/SAE technical paper series
Traffic control and management
article

Study on Variable Speed Limit Control Strategy of Highway under Intelligent Connected Environment

Xiaomei Qu, T. Y. Qi, Haiyan Gu, Z. F. Sang, Fangyue Ning
article en

Abstract

<div class="section abstract"><div class="htmlview paragraph">This paper presents a novel variable speed limit control strategy based on an Improved METANET model aimed at addressing traffic congestion in the bottleneck areas of expressways while considering the impact of an intelligent connected environment. Traffic flow simulation software was employed to compare the outcomes of the traditional variable speed limit model with those derived from the proposed strategy. The results indicated that under three scenarios—main road, ramp, and lane closure—with a 100% penetration rate of intelligent connected vehicles, the average delay for vehicles utilizing the new model decreased by 9.37%, 11.11%, and 7.22%, respectively. This study offers an innovative approach to highway variable speed limits under an intelligent connected environment.</div></div>

SAE technical papers on CD-ROM/SAE technical paper seriesVol. 1
Nanjing Tech University (CN)
Openalex Percentile: Top 97%
Traffic control and management
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Study on Variable Speed Limit Control Strategy of Highway under Intelligent Connected Environment — Xiaomei Qu, T. Y. Qi, et al. · SAE technical papers on CD-ROM/SAE technical paper series (2025) | TGRS Research Map | TGRS