Research on the Impact of CAV Considering Communication Strategies on Macroscopic Traffic Performance

The research on the macroscopic traffic performance of mixed traffic systems focuses more on cars, ignoring the impact of buses, and lacks the analysis of the impact of communication strategies. To address this issue, this paper constructs a Connected and Automated Vehicle (CAV) model that considers communication strategies for mixed traffic systems composed of Human-driven Vehicle (HV) and Human-driven Bus (HB). The simulation outcomes indicate that the CAV model can effectively enhance the macroscopic traffic performance of road networks. This study provides a reference for the control of private cars and buses in urban road networks.

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Published
2024-10-25
DOI
https://doi.org/10.1145/3704657.3704692
Primary Topic
Traffic control and management
Type
article
Field-Weighted Citation Impact
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article

Research on the Impact of CAV Considering Communication Strategies on Macroscopic Traffic Performance

Qingli Xie, Guoyu Hao
Traffic control and management
article

Research on the Impact of CAV Considering Communication Strategies on Macroscopic Traffic Performance

Qingli Xie, Guoyu Hao
article en

Abstract

The research on the macroscopic traffic performance of mixed traffic systems focuses more on cars, ignoring the impact of buses, and lacks the analysis of the impact of communication strategies. To address this issue, this paper constructs a Connected and Automated Vehicle (CAV) model that considers communication strategies for mixed traffic systems composed of Human-driven Vehicle (HV) and Human-driven Bus (HB). The simulation outcomes indicate that the CAV model can effectively enhance the macroscopic traffic performance of road networks. This study provides a reference for the control of private cars and buses in urban road networks.

Beijing Jiaotong University (CN)
Openalex Percentile: Top 72%
Traffic control and management
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