Enhancing Road Safety: A Pedestrian-to-Vehicle Collision Warning System Integrating Location-Based P2P and LiDAR Sensing

Pedestrian-to-vehicle collisions pose a significant risk in modern traffic environments. This paper presents a collision warning system that integrates a location-based peer-to-peer (P2P) network with LiDAR sensing technology to enhance road safety. By incorporating road users detected by LiDAR as virtual peers, the system enables the visualization of both connected and non-networked users on mobile applications. Field experiments confirmed that the proposed system effectively detects and displays road users, providing timely collision warnings. These results highlight the system's potential to improve pedestrian and vehicle safety through innovative integration of P2P and LiDAR technologies.

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Publication Details

Published
2025-03-29
DOI
https://doi.org/10.1109/icct-pacific63901.2025.11012868
Citations
1
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
Field-Weighted Citation Impact
0.68
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article

Enhancing Road Safety: A Pedestrian-to-Vehicle Collision Warning System Integrating Location-Based P2P and LiDAR Sensing

Taku Yamazaki, Shota Yamashita, Takumi Miyoshi
1 citations
Autonomous Vehicle Technology and Safety
0.68
article

Enhancing Road Safety: A Pedestrian-to-Vehicle Collision Warning System Integrating Location-Based P2P and LiDAR Sensing

Taku Yamazaki, Shota Yamashita, Takumi Miyoshi
article en
1 citations

Abstract

Pedestrian-to-vehicle collisions pose a significant risk in modern traffic environments. This paper presents a collision warning system that integrates a location-based peer-to-peer (P2P) network with LiDAR sensing technology to enhance road safety. By incorporating road users detected by LiDAR as virtual peers, the system enables the visualization of both connected and non-networked users on mobile applications. Field experiments confirmed that the proposed system effectively detects and displays road users, providing timely collision warnings. These results highlight the system's potential to improve pedestrian and vehicle safety through innovative integration of P2P and LiDAR technologies.

Shibaura Institute of Technology (JP)
Openalex Percentile: Top 30%
Autonomous Vehicle Technology and Safety
0.68
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