Accident prediction models for signalized crosswalks.

Author(s)
Tarko, A.J. & Tracz, M.
Year
Abstract

In Poland, there is an obvious need for effective countermeasures to improve traffic safety, especially pedestrians' safety. This paper presents the results of a study into pedestrian safety on signalized crosswalks. Firstly, a regression technique was used in the investigation into accident-related factors. Secondly, the accident predictive models have been developed. The models have been used to highlight, and quantify the effects of traffic and signals impacts on the pedestrian safety. The study shows that short-term measurements carried out specifically for a safety analysis or conducted by traffic authorities on a regular basis provide sufficient data for developing accident regression models. This paper proposes the accident prediction method applicable in non-stationary conditions, as faced in Poland and other East European countries.

Request publication

1 + 1 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.

Publication

Library number
C 1600 (In: C 1590) /81 /82 / IRRD 860361
Source

In: Proceedings of the First World Congress on Safety of Transportation, held in the context of the 150th anniversary of the Delft University of Technology, Delft, the Netherlands, 26-27 November 1992, p. 182-192, 5 ref.

Our collection

This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.