Safety Assessment of Urban Intersection Sight Distance Using Mobile LiDAR Data
| Autor: | Omar Kilani, Karim El-Basyouny, Jonas Weiß, Maged Gouda |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
animal structures
mobile lidar data Computer science Geography Planning and Development Point cloud TJ807-830 intersection sight distance 020101 civil engineering Field of view 02 engineering and technology Management Monitoring Policy and Law TD194-195 voxel size Renewable energy sources 0201 civil engineering Transport engineering point cloud data 0502 economics and business 11. Sustainability GE1-350 collision analysis 050210 logistics & transportation Environmental effects of industries and plants Renewable Energy Sustainability and the Environment 05 social sciences Visibility (geometry) Ranging Collision analysis Sight Environmental sciences Lidar urban intersection safety Intersection (aeronautics) |
| Zdroj: | Sustainability Volume 13 Issue 16 Sustainability, Vol 13, Iss 9259, p 9259 (2021) |
| ISSN: | 2071-1050 |
| DOI: | 10.3390/su13169259 |
| Popis: | This paper proposes an automated framework that utilizes Light Detection and Ranging (LiDAR) point cloud data to map and detect road obstacles that impact drivers’ field of view at urban intersections. The framework facilitates the simulation of a driver’s field of vision to estimate the blockage percentage as they approach an intersection. Furthermore, a collision analysis is conducted to examine the relationship between poor visibility and safety. The visibility assessment was used to determine the blockage percentage as a function of intersection control type. The safety assessment indicated that intersections with limited available sight distances (ASD) exhibited an increased risk of collisions. The research also conducted a sensitivity analysis to understand the impact of the voxel size on the extraction of intersection obstacles from LiDAR datasets. The findings from this research can be used to assess the intersection without the burden of manual intervention. This would effectively support transportation agencies in identifying hazardous intersections with poor visibility and adopt policies to enhance urban intersections’ operation and safety. |
| Databáze: | OpenAIRE |
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