Cost-Effective Road Side Units Deployment via Hotspot Identification
Road Side Units (RSUs) play a pivotal role in enhancing the safety of Connected Vehicles (CVs), yet their safety benefits hinge significantly on effective deployment strategies. Traditional approaches often focus on high-risk areas, but such locations may not necessarily yield the most substantial safety improvements. This study redefines hot spots as road segments where RSU deployment results in the greatest reduction of collision risk and introduces a cost-efficient method for identifying such locations. The proposed method requires only small-scale real-world driving data, which is further augmented to support broader scenario evaluation. Additionally, an accelerated sampling strategy is incorporated to enhance the efficiency of the identification process. Simulation-based evaluations demonstrate that the method achieves superior performance in terms of safety impact, data efficiency, compared to conventional approaches.
Authors
- Chuangye Yu (ORCID: https://orcid.org/0009-0001-5986-5610)
- Jintao Lai (ORCID: https://orcid.org/0000-0002-6069-6519)
- Jia Hu (ORCID: https://orcid.org/0000-0002-0900-7992)
- Hongchen Li (ORCID: https://orcid.org/0000-0003-1602-9230)
- Z Zhang
- Guan Wang (ORCID: https://orcid.org/0000-0001-5719-5417)
- Jie Lai (ORCID: https://orcid.org/0000-0002-9840-6943)
Institutions
- Tongji University (CN)
- Hongzhiwei Technology (China) (CN)
Publication Details
- Published
- 2025-06-22
- DOI
- https://doi.org/10.1109/iv64158.2025.11097562
- Primary Topic
- Autonomous Vehicle Technology and Safety
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Shanghai Automotive Industry Science and Technology Development Foundation
- National Natural Science Foundation of China
- National Key Research and Development Program of China