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Accid Anal Prev. 2018 Feb;111:328-337. doi: 10.1016/j.aap.2017.12.009. Epub 2017 Dec 20.

Safety assessment on pedestrian crossing environments using MLS data.

Author information

1
Department of Materials Engineering, Applied Mechanics and Construction, School of Industrial Engineering, University of Vigo, 36310, Spain. Electronic address: msoilan@uvigo.es.
2
Department of Materials Engineering, Applied Mechanics and Construction, School of Industrial Engineering, University of Vigo, 36310, Spain.
3
Department of Natural Resources and Environmental Engineering, School of Mining Engineering, University of Vigo, 36310, Vigo, Spain.

Abstract

In the framework of infrastructure analysis and maintenance in an urban environment, it is important to address the safety of every road user. This paper presents a methodology for the evaluation of several safety indicators on pedestrian crossing environments using geometric and radiometric information extracted from 3D point clouds collected by a Mobile Mapping System (MMS). The methodology is divided in four main modules which analyze the accessibility of the crossing area, the presence of traffic lights and traffic signs, and the visibility between a driver and a pedestrian on the proximities of a pedestrian crossing. The outputs of the analysis are exported to a Geographic Information System (GIS) where they are visualized and can be further processed in the context of city management. The methodology has been tested on approximately 30 pedestrian crossings in cluttered urban environments of two different cities. Results show that MMS are a valid mean to assess the safety of a specific urban environment, regarding its geometric conditions. Remarkable results are presented on traffic light classification, with a global F-score close to 95%.

KEYWORDS:

Classification; Geographic information system; Mobile laser scanning; Point cloud processing; Safety assessment

PMID:
29272790
DOI:
10.1016/j.aap.2017.12.009
[Indexed for MEDLINE]

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