Enhancing intersection safety and efficiency for intelligent connected vehicles through roadside perception

With the rapid development of intelligent connected vehicles (ICVs), the integration of vehicles with roadside infrastructure through Vehicle-Road-Cloud Integration has become a crucial direction for the industry. China has launched pilot projects in twenty cities to explore this integration, focusing on constructing intelligent roadside infrastructure and deploying C-V2X communication systems. However, the current pilot projects face challenges such as high latency and limited real-time control capabilities for autonomous vehicles. This paper discusses the existing shortcomings in collaborative perception and proposes a safety and efficiency platform that focuses on latency-insensitive scenarios to enhance traffic safety and efficiency. The platform, based on intersection perception capabilities, provides 13 types of safety and efficiency services to ICVs through real-time data analysis and service applications. The successful implementation of this platform in pilot cities will provide valuable experience for nationwide promotion and validate the effectiveness of V2X infrastructure investments.

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Publication Details

Published
2025-07-24
DOI
https://doi.org/10.1117/12.3068843
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
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article

Enhancing intersection safety and efficiency for intelligent connected vehicles through roadside perception

Jianhua He, Hongyang Duan, Bo Liu, Rongrong Li
Autonomous Vehicle Technology and Safety
article

Enhancing intersection safety and efficiency for intelligent connected vehicles through roadside perception

Jianhua He, Hongyang Duan, Bo Liu, Rongrong Li
article en

Abstract

With the rapid development of intelligent connected vehicles (ICVs), the integration of vehicles with roadside infrastructure through Vehicle-Road-Cloud Integration has become a crucial direction for the industry. China has launched pilot projects in twenty cities to explore this integration, focusing on constructing intelligent roadside infrastructure and deploying C-V2X communication systems. However, the current pilot projects face challenges such as high latency and limited real-time control capabilities for autonomous vehicles. This paper discusses the existing shortcomings in collaborative perception and proposes a safety and efficiency platform that focuses on latency-insensitive scenarios to enhance traffic safety and efficiency. The platform, based on intersection perception capabilities, provides 13 types of safety and efficiency services to ICVs through real-time data analysis and service applications. The successful implementation of this platform in pilot cities will provide valuable experience for nationwide promotion and validate the effectiveness of V2X infrastructure investments.

Harbin University (CN)
Sustainable cities and communities
Openalex Percentile: Top 81%
Autonomous Vehicle Technology and Safety
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Enhancing intersection safety and efficiency for intelligent connected vehicles through roadside perception — Jianhua He, Hongyang Duan, et al. · (2025) | TGRS Research Map | TGRS