The available sight distance (ASD) is fundamental in assessing traffic safety. It represents the visible driving path detectable by the driver in order to avoid collision with unexpected obstacles. In the last 20 years, road design software (RDS) has been continuously updated with dedicated modules able to estimate ASD, thus assessing the quality of project from a safety point of view. Unfortunately, estimating the ASD is still an open issue with regard to existing roads. To overcome the limitations associated with the use of digital terrain typically employed in RDS, Geographic Information System (GIS) software can use digital surface models (DSM), which are more flexible for modeling sight obstructions. The paper proposes using a GIS platform and a numerical computing environment to estimate the ASD on a typical urban road, where the density and the dynamicity of sight obstructions along the roadside is relatively high. The aim of the investigation was to understand the differences in terms of computational effort, time, and performance between the two approaches used to evaluate the ASD, capturing the complex morphology of the urban environment. The strengths and weaknesses of the two methodologies are presented here and discussed.

Estimating the Available Sight Distance on Urban Roads by Integrating 3D Maps and Low-Cost Mobile Mapping Systems into a GIS and a Numerical Computing Environment / Bassani, Marco; Grasso, Nives; Piras, Marco; Catani, Lorenzo. - ELETTRONICO. - (2016). ((Intervento presentato al convegno 95th TRB Annual Meeting tenutosi a Washington, D.C. nel January 10th -14th, 2016.

Estimating the Available Sight Distance on Urban Roads by Integrating 3D Maps and Low-Cost Mobile Mapping Systems into a GIS and a Numerical Computing Environment

BASSANI, Marco;GRASSO, NIVES;PIRAS, MARCO;CATANI, LORENZO
2016

Abstract

The available sight distance (ASD) is fundamental in assessing traffic safety. It represents the visible driving path detectable by the driver in order to avoid collision with unexpected obstacles. In the last 20 years, road design software (RDS) has been continuously updated with dedicated modules able to estimate ASD, thus assessing the quality of project from a safety point of view. Unfortunately, estimating the ASD is still an open issue with regard to existing roads. To overcome the limitations associated with the use of digital terrain typically employed in RDS, Geographic Information System (GIS) software can use digital surface models (DSM), which are more flexible for modeling sight obstructions. The paper proposes using a GIS platform and a numerical computing environment to estimate the ASD on a typical urban road, where the density and the dynamicity of sight obstructions along the roadside is relatively high. The aim of the investigation was to understand the differences in terms of computational effort, time, and performance between the two approaches used to evaluate the ASD, capturing the complex morphology of the urban environment. The strengths and weaknesses of the two methodologies are presented here and discussed.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11583/2640856
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