2018
DOI: 10.1061/(asce)su.1943-5428.0000258
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Three-Dimensional Virtual Highway Model for Sight-Distance Evaluation of Highway Underpasses

Abstract: When it comes to the safe design and operation of highways, sight distance is of utmost importance. The estimation of sight distance must be performed taking the three-dimensional (3D) nature of roadways and related features into account. Horizontal curves and crest vertical curves were the common sight restrictions considered in highway design. However, overhanging features may also affect sight distance. This paper presents a 3D virtual model for evaluating sight distance on sites where overpass structures r… Show more

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Cited by 9 publications
(7 citation statements)
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“…The path stations were spaced 1 meter apart, along which both the observer and the target were to be placed. Although this is the default configuration, the procedure allows the target position to be set flexibly [22]. On the other hand, software MDTopX was selected to classify the dense point cloud [35].…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The path stations were spaced 1 meter apart, along which both the observer and the target were to be placed. Although this is the default configuration, the procedure allows the target position to be set flexibly [22]. On the other hand, software MDTopX was selected to classify the dense point cloud [35].…”
Section: Methodsmentioning
confidence: 99%
“…Charbonnier et al [21] evaluated highway sight distance on 3D models consisting of triangular faces built up from a LiDAR point cloud. An alternative procedure for elaborating virtual 3D models of existing highways and roadside features was devised and validated for evaluating of sight distance [22,23]. It used a DTM combined with a fully 3D-defined structure to model objects, overcoming the difficulties of DSM to adequately represent overhanging features.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, César De Santos‐Berbel and Castro (2018) used aerial LiDAR data to generate an elevation model of the terrain along a highway segment containing an underpass. Sightlines between the driver's eye (located along the highway centerline) and the subsequent targets (located on the centerline and offset from the centerline) on the roadway were taken and checked for intersection with the elevation model.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The DTM and the 3D object file were derived from a Light detection and ranging (LiDAR) point cloud collected by a mobile mapping system. LiDAR surveys are a reliable data source to model a highway and its environment for the purpose of sight distance studies (De Santos-Berbel and Castro, 2018;Jung et al, 2018;Ma et al, 2019). The DTM illustrates the shape of the roadway and the terrain that On the other hand, the eye position of the driver of the oncoming traffic, where the lines of sight end, must be included in the point shapefile.…”
Section: Modelling Of Headlight Beam and Glarementioning
confidence: 99%