Citation

González-Gómez K, Castro M. Transp. Res. Proc. 2020; 45: 226-233.

Copyright

(Copyright © 2020, Elsevier Publications)

DOI

10.1016/j.trpro.2020.03.011

PMID

unavailable

Abstract

Road elements are predominantly designed to safely accommodate motorized users. Urban roads and streets, unlike highways, contain very dissimilar users and might have higher points of conflict. Nowadays, due to the increasing use of vehicle sharing systems, personal transportation devices and bicycle-friendly policies, some urban streets have had to adapt to distinct users with different levels of vulnerability. Given the interest in increasing the use of alternative transportation methods, it is of great importance to make sure these car-centered designed roads provide securely for all users. In order to create a safe environment for these unalike users, common measures such as reducing speed limits, traffic calming interventions and modifications to the road geometry have been taken in several urban areas. In this regard, taking into account the key role that proper available sight distance plays in road safety, the visibility of an urban roundabout located in Madrid, Spain was evaluated. This analysis was performed considering the observers to be pedestrians, cyclists and electric scooter riders. In addition to the estimation of their crossing and stopping sight distances, their reciprocal visibility with drivers was assessed. Nowadays there are different ways of obtaining up-to-date information of the road scene and cycle lanes with sufficient accuracy and detail, hence it is possible to easily perform offsite analyses of distinct road parameters. Here, the virtual verification of sufficient stopping and intersection sight distances was performed utilizing a LiDAR derived digital terrain model and 3-D geometries. These evaluations were performed with the objective of identifying potential risk locations for these vulnerable users and the proposal of measures that could improve their safety.

Language: en

Keywords

LiDAR models; road safety; sight distance; urban intersections; Vulnerable road users