01519632

Component

Effective evaluation of intersection safety requires the ability to develop meaningful benchmarks to help assess the relative safety risk for a given intersection. This paper introduces an automated intersection safety data collection and evaluation method, including an algorithm to update intersection crash rates and geometric features from existing sources. The automation algorithm involves the integration of five separate Wisconsin Department of Transportation (WisDOT) databases through association with a common Linear Referencing System (LRS). The result of the quality assurance/quality control (QA/QC) suggests the methodology is feasible and can improve the quality of intersection safety data collection. This paper also presents results of a comparative intersection safety analysis for different intersection types based on the automated algorithm. Although the methodology introduced is specific to Wisconsin data, the results can also be applied to other state DOTs that manage traffic data with respect to a LRS.

This paper was sponsored by TRB committee ANB20 Safety Data, Analysis and Evaluation.

01503729

14-4212

English

17p

2014

Transportation Research Board 93rd Annual Meeting

Digital/other

Figures; References; Tables

Algorithms; Crash rates; Data collection; Highway safety; Intersections

Linear referencing

Wisconsin

Data and Information Technology; Highways; Planning and Forecasting; Safety and Human Factors; I72: Traffic and Transport Planning; I82: Accidents and Transport Infrastructure

Transportation Research Board Annual Meeting 2014 Paper #14-4212

TRIS, TRB, ATRI

Jan 27 2014 3:27PM