2026-09-07T15:43:37Zhttps://gredos.usal.es/oai/request

oai:gredos.usal.es:10366/1621432025-04-30T20:17:35Zcom_10366_4359com_10366_4349com_10366_3946com_10366_3823col_10366_4360

Martín Jiménez, José Antonio Zazo del Dedo, Santiago Arranz Justel, José Juan Rodríguez Gonzálvez, Pablo González Aguilera, Diego 2025-01-21T10:54:53Z 2025-01-21T10:54:53Z 2018-10-10 2099-12-31 Antonio Martín-Jiménez, J., Zazo, S., Arranz Justel, J. J., Rodríguez-Gonzálvez, P. & González-Aguilera, D. (2018). Road safety evaluation through automatic extraction of road horizontal alignments from Mobile LiDAR System and inductive reasoning based on a decision tree. ISPRS Journal of Photogrammetry and Remote Sensing, 146, 334-346. https://doi.org/10.1016/J.ISPRSJPRS.2018.10.004 0924-2716 http://hdl.handle.net/10366/162143 10.1016/j.isprsjprs.2018.10.004 [EN] 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.” INROAD project (TSI-100505-2016-019) Energy, Tourism and Digital Society Ministry (National projects: Strategical action/Call 2016). eng Elsevier Road safety Decision tree Geometric design consistency Horizontal alignment parameters Mobile LiDAR System Road safety evaluation through automatic extraction of road horizontal alignments from Mobile LiDAR System and inductive reasoning based on a decision tree info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://doi.org/10.1016/j.isprsjprs.2018.10.004 TSI-100505-2016-019 info:eu-repo/semantics/embargoedAccess ISPRS Journal of Photogrammetry and Remote Sensing 146 334 346