LIDAR-based roadway and roadside modelling for sight distance studies

Castro, María; Medina, Serafín López-Cuervo; Paréns-González, María; Santos-Berbel, César De

doi:10.1179/1752270615y.0000000037

Cited by 37 publications

(29 citation statements)

References 10 publications

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“…In either case, the sight-distance evaluation procedures typically verified whether the lines of sight were intercepted by such elevation models. Castro et al (2016) discussed the use of DTMs and DSMs from different sources for highway sight-distance studies. Khattak and Shamayleh (2005) identified locations with potential stopping and passing sight-distance issues from aerial LiDAR data in a geographic information system (GIS), validating the results by means of a field visit.…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Virtual Highway Model for Sight-Distance Evaluation of Highway Underpasses

Santos-Berbel

Castro

2018

J. Surv. Eng.

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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 restrict sight distance and for detecting sight-distance-related issues. The procedure and inputs for the computation of sight distance are described as are the results, which were validated and applied to a case study of an in-service highway underpass. Stopping sight distance and passing sight distance were evaluated for a section of highway with specific sight-distance characteristics of overpasses. The effect of the observer and target heights on sight distance for underpasses proved the opposite of those on horizontal curves and crests. Near an overpass, the heights should be switched from those used on curves and crests to evaluate stopping and passing sight distance according to operational and safety criteria. Finally, the currently existing passing zones were evaluated by means of the results obtained, revealing possible deficiencies in the establishment of passing zones. individual papers. This paper is part of the Journal of Surveying Engineering, © ASCE, ISSN 0733-9453. © ASCE 05018003-1 J. Surv. Eng. J. Surv. Eng., 2018, 144(4): 05018003 Downloaded from ascelibrary.org by 44.224.250.200 on 07/10/20. Copyright ASCE. For personal use only; all rights reserved. © ASCE 05018003-4 J. Surv. Eng. J. Surv. Eng., 2018, 144(4): 05018003 Downloaded from ascelibrary.org by 44.224.250.200 on 07/10/20. Copyright ASCE. For personal use only; all rights reserved. © ASCE 05018003-6 J. Surv. Eng. J. Surv. Eng., 2018, 144(4): 05018003 Downloaded from ascelibrary.org by 44.224.250.200 on 07/10/20. Copyright ASCE. For personal use only; all rights reserved. © ASCE 05018003-8 J. Surv. Eng.

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Section: Introductionmentioning

confidence: 99%

Three-Dimensional Virtual Highway Model for Sight-Distance Evaluation of Highway Underpasses

Santos-Berbel

Castro

2018

J. Surv. Eng.

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“…In addition, a study carried out by the authors found that sight distance results using airborne DTM, airborne DSM and MMS DSM were all statistically significantly different (Castro et al 2016). The differences were particularly relevant in subsections where the available sight distance was shorter.…”

Section: Roadside Elementsmentioning

confidence: 99%

Performance improvements of asphalt mixtures by dry addition of polymeric additives

Ranieri¹,

Celauro²,

Venturini³

2017

Transport Infrastructure and Systems

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“…Several studies have proposed the creation of Digital Elevation Models (DEM) from MLS and ALS data in order to compare their performance in sight distance analysis [de SantosBerbel et al, 2014]. Castro et al [2015] go in deep with the effect of model resolution by doing a statistical analysis. They conclude that model resolution has influence on the visibility results, but they find problems when some elements overlap roadway areas and they need to pre-process their models to get a good result.…”

Section: Related Workmentioning

confidence: 99%

Interurban visibility diagnosis from point clouds

Iglesias

Díaz-Vilariño²,

González-Jorge

et al. 2016

European Journal of Remote Sensing

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We present an approach for automatic visibility analysis in interurban roads from point clouds. The methodology is based on a ray-tracing algorithm followed by an occlusion detection to identify potential obstacles between the driver and the theoretical position of pedestrians and cyclists. As a result, the area of visibility from each driver position is obtained. The method compares the performance and suitability of point clouds acquired from both Airborne and Mobile Laser Scanning. The methodology is tested in six real case studies. In most cases, results obtained from MLS are more accurate since the point clouds are acquired from a perspective similar to driver and they have higher resolution.

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LIDAR-based roadway and roadside modelling for sight distance studies

Cited by 37 publications

References 10 publications

Three-Dimensional Virtual Highway Model for Sight-Distance Evaluation of Highway Underpasses

Three-Dimensional Virtual Highway Model for Sight-Distance Evaluation of Highway Underpasses

Performance improvements of asphalt mixtures by dry addition of polymeric additives

Interurban visibility diagnosis from point clouds

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