Towards a more inclusive and safe design of horizontal curves: Exploring the association between curve features, reliability measures, and safety.

Towards a more inclusive and safe design of horizontal curves: Exploring the association between curve features, reliability measures, and safety. Accid Anal Prev. 2021 Feb 10;153:106009 Authors: Shalkamy A, Gargoum S, El-Basyouny K Abstract Reliability analysis has been advocated as a robust methodology to quantify the risk (known as the probability of non-compliance, Pnc) associated with design limitations such as insufficient sight distance on horizontal curves. This risk represents the probability that the current design (e.g., available sight distance) would fail to meet the requirements of the driving population (e.g., required sight distance). Although previous work has quantified the risk and established links between Pnc and safety, Pnc remains a statistical measure that is not informative enough to roadway designers. To overcome this limitation, the impacts of geometric design attributes on the Pnc as well as the direct and indirect (through the impacts on Pnc) impacts of those attributes on safety need to be modelled and understood. To achieve the aforementioned objective, this paper proposes the adoption of Structural Equation Modelling (SEM) to simultaneously model the relationships mentioned above using data collected on horizontal curves in Alberta, Canada. Light Detection And Ranging (LiDAR) data was first used to extract curve information and assess the 3D available sight distance on 244 curved highway segments. Reli...
Source: Accident; Analysis and Prevention. - Category: Accident Prevention Authors: Tags: Accid Anal Prev Source Type: research