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    Título
    Road safety evaluation through automatic extraction of road horizontal alignments from Mobile LiDAR System and inductive reasoning based on a decision tree
    Autor
    José Antonio, Martín-Jimenez
    Santiago, Zazo
    José Juan, Arranz Justel
    Pablo, Rodríguez-Gonzálvez
    Diego, González-Aguilera
    Facultad/Centro
    Escuela Superior y Tecnica de Ingenieros de Minas
    Área de conocimiento
    Ingeniería Cartografica, Geodesica y Fotogrametria
    Datos de la obra
    ISPRS Journal of Photogrammetry & Remote Sensing
    Editor
    Elsevier
    Fecha
    2018-12-01
    Abstract
    Safe roads are a necessity for any society because of the high social costs of traffic accidents. This challenge is addressed by a novel methodology that allows us to evaluate road safety from Mobile LiDAR System data, taking advantage of the road alignment due to its influence on the accident rate. Automation is obtained through an inductive reasoning process based on a decision tree that provides a potential risk assessment. To achieve this, a 3D point cloud is classified by an iterative and incremental algorithm based on a 2.5D and 3D Delaunay triangulation, which apply different algorithms sequentially. Next, an automatic extraction process of road horizontal alignment parameters is developed to obtain geometric consistency indexes, based on a joint triple stability criterion. Likewise, this work aims to provide a powerful and effective preventive and/or predictive tool for road safety inspections. The proposed methodology was implemented on three stretches of Spanish roads, each with different traffic conditions that represent the most common road types. The developed methodology was successfully validated through as-built road projects, which were considered as “ground truth.”
    Materia
    Cartografía
    Palabras clave
    Road safety
    Decision tree
    Geometric design consistency
    Horizontal alignment parameters
    Mobile LiDAR System
    Peer review
    SI
    URI
    http://hdl.handle.net/10612/10998
    Versión del editor
    https://doi.org/10.1016/j.isprsjprs.2018.10.004
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