Abstract
The available sight distance (ASD) is that part of the roadway ahead which is visible to the driver, and should be of sufficient length to allow a vehicle traveling at the designated speed to stop before reaching a stationary object in its path. It is fundamental in assessing road safety of a project or on an existing road section. Unfortunately, an accurate estimation of the available sight distance is still an issue on existing roads, above all due to the lack of information regarding the as-built condition of the infrastructure. Today, the geomatics field already offers different solutions for collecting 3D information about environments at different scales, integrating multiple sensors, but the main issue regarding existing mobile mapping systems (MMSs) is their high cost. The first part of this research focused on the use of a low-cost MMS as an alternative for obtaining 3D information about infrastructure. The obtained model can be exploited as input data of specific algorithms, both on a GIS platform and in a numerical computing environment to estimate ASD on a typical urban road. The aim of the investigation was to compare the performances of the two approaches used to evaluate the ASD, capturing the complex morphology of the urban environment.
Highlights
To reduce frequency and severity of crashes, road engineers are committed to protecting all road users by providing drivers with adequate sight distances from potential obstacles along the driving path [1]
According to the standards and regulations which are currently applied to new roads, drivers must have a visible space along their trajectory, called the available sight distance (ASD), which permits them to maintain control of the vehicle and to avoid collisions with unexpected objects or other road users on the carriageway
This paper reports the results of a research project focused on the estimation of ASD along urban roadways
Summary
To reduce frequency and severity of crashes, road engineers are committed to protecting all road users by providing drivers with adequate sight distances from potential obstacles along the driving path [1]. According to the standards and regulations which are currently applied to new roads, drivers must have a visible space along their trajectory, called the available sight distance (ASD), which permits them to maintain control of the vehicle and to avoid collisions with unexpected objects or other road users on the carriageway. The aim of this paper is to assess how effective GIS, numerical computing software, and related tools for sight analysis are when estimating the ASD, which represents a fundamental parameter used in important applications related to road safety including, for example, the setting of speed limits along road sections.
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