2018
DOI: 10.1016/j.aap.2017.12.009
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Safety assessment on pedestrian crossing environments using MLS data

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 an… Show more

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Cited by 29 publications
(17 citation statements)
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References 31 publications
(32 reference statements)
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“…In [21], authors presented a methodology for evaluating many safety indicators in the environments of pedestrian crossing through the use engineering and radiological information extracted from the 3D point clouds that have been collected via the Mobile Mapping System (MMS). The methodology of this work consists of four main processing units, such as analysis of the accessibility to the crossing area, the presence the traffic signs, the traffic lights, and the visibility close to the pedestrian crossing between the driver and the pedestrians.…”
Section: Related Workmentioning
confidence: 99%
“…In [21], authors presented a methodology for evaluating many safety indicators in the environments of pedestrian crossing through the use engineering and radiological information extracted from the 3D point clouds that have been collected via the Mobile Mapping System (MMS). The methodology of this work consists of four main processing units, such as analysis of the accessibility to the crossing area, the presence the traffic signs, the traffic lights, and the visibility close to the pedestrian crossing between the driver and the pedestrians.…”
Section: Related Workmentioning
confidence: 99%
“…The analysis of the pedestrian safety conditions [2,3] and the deployment of measures to solve this problem has been a common trend over the years. In the field of Advanced Driver Assistance Systems (ADAS), several systems have been proposed to reduce road accidents in the past.…”
Section: State Of the Artmentioning
confidence: 99%
“…Given those advantages, MLS data have been used in recent years in a wide range of urban applications, including urban land cover analysis [6][7][8][9], digital 3D city modeling [10,11], urban environment monitoring [12][13][14][15][16], and autonomous vehicle driving [17][18][19]. The use of these data has However, in contrast to the rapid development of MLS technology and its huge potential in various applications, we still lack a comprehensive review of the latest progresses, common issues, and remaining challenges of MLS applications over urban areas.…”
Section: Introductionmentioning
confidence: 99%