Proceedings of the 10th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2022)

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Research on Intersection Vehicle Collision Warning Based on Roadside LiDAR

Authors
Xuan DOU1, 2, 3, *, Hanping ZHAO1, 2, 3, Xiaowen MEI1, 2, 3
1Key Laboratory of Environmental Change and Natural Disaster, MOE, Beijing Normal University, Beijing, China
2Academy of Disaster Reduction and Emergency Management, Ministry of Emergency Management and Ministry of Education, Beijing, China
3Faculty of Geographical Science, Beijing Normal University, Beijing, China
*Corresponding author. Email: 06136@bnu.edu.cn
Corresponding Author
Xuan DOU
Available Online 21 July 2023.
DOI
10.2991/978-94-6463-194-4_38How to use a DOI?
Keywords
roadside LiDAR; intersection; collision warning,3D simulation
ABSTRACT

A roadside LiDAR-based intersection vehicle collision warning method is proposed in order to reduce intersection vehicle collision accidents. Common vehicle collision scenarios at urban intersections are constructed, and corresponding 3D simulation experiments are designed. The point cloud data of the collision experiment is collected based on the realistic scenario simulated roadside LIDAR. The trajectory information of vehicles in the intersection area is extracted using the DBSCAN vehicle detection algorithm and the joint probabilistic data association tracking algorithm combined with the traceless Kalman filter. A vehicle trajectory model is constructed. The vehicle trajectory model is applied to calculate the location of the collision point where a collision may occur, and the collision warning is performed by combining the time difference between the vehicles that may collide and the collision point. The 3D simulation experiments of specific hazard scenarios are completed using Carla simulation platform. The simulation experiment results show that this method can make early warning of possible collisions. It provides a technical basis and experimental procedure for the application of roadside LiDAR-based intersection vehicle collision warning method.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 10th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2022)
Series
Advances in Economics, Business and Management Research
Publication Date
21 July 2023
ISBN
978-94-6463-194-4
ISSN
2352-5428
DOI
10.2991/978-94-6463-194-4_38How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Xuan DOU
AU  - Hanping ZHAO
AU  - Xiaowen MEI
PY  - 2023
DA  - 2023/07/21
TI  - Research on Intersection Vehicle Collision Warning Based on Roadside LiDAR
BT  - Proceedings of the 10th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2022)
PB  - Atlantis Press
SP  - 268
EP  - 276
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-194-4_38
DO  - 10.2991/978-94-6463-194-4_38
ID  - DOU2023
ER  -