Integration of geometric consistency contributory factors in three-leg junctions collision prediction models of Portuguese two-lane national highways

Costa, Jocilene Otilia da; Jacques, Maria Alice Prudêncio; Soares, Francisco Emanuel Cunha; Freitas, Elisabete F.

doi:10.1016/j.aap.2015.10.003

Cited by 5 publications

(1 citation statement)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to Camacho-Torregrosa et al, (2013), annually, 1.20 million people die and another 20-50 million people are injured in traffic accidents; furthermore, road crashes involve important and high social costs (da Costa et al, 2016). Although the influence of the human factor is well known (Siskind et al, 2011), roadway design also contributes to the occurrence of accidents (Garach et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Road safety evaluation through automatic extraction of road horizontal alignments from Mobile LiDAR System and inductive reasoning based on a decision tree

Martín-Jiménez

Zazo

Justel

et al. 2018

ISPRS Journal of Photogrammetry and Remote Sensing

View full text Add to dashboard Cite

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."

show abstract