Safety Assessment of Urban Intersection Sight Distance Using Mobile LiDAR Data

Safety Assessment of Urban Intersection Sight Distance Using Mobile LiDAR Data

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 pe...

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Bibliographic Details
Main Authors: Omar Kilani, Maged Gouda, Jonas Weiß, Karim El-Basyouny
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Sustainability
Subjects:
intersection sight distance
urban intersection safety
mobile lidar data
voxel size
collision analysis
point cloud data
Online Access:https://www.mdpi.com/2071-1050/13/16/9259

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