Citation

Vujanić M, Pešić D, Antić B, Marković N. Transport 2018; 33(1): 268-279.

Copyright

(Copyright © 2018, Vilnius Gediminas Technical University and Lithuanian Academy of Sciences, Publisher Vilnius Gediminas Technical University (VGTU) Press)

DOI

10.3846/16484142.2016.1174153

PMID

unavailable

Abstract

Although traffic light controlled intersections separate, the traffic flows by time and space, road traffic accidents still occur, usually due to Red-Light Running (RLR). In order to define countermeasures to solve this problem, it is necessary to collect and analyze certain data that will indicate type of measures, which should be applied. In this paper, it was done on the example of one 3-leg and one 4-leg intersection where citizens provided information about frequent RLR to the City Administration of Belgrade (Serbia). The statistical significance of differences between the collected data was tested by ANOVA analysis and by PostHoc Tukey test, which showed that forecasting of second of RLR after red-light onset could effectively be conducted by Cubic distribution. In order to define the so-called RLR risk indicator for the intersection, the use of the Danger Degree (DD) indicator, that presents the rate between the number of dangerous situations caused by RLR and the total number of RLR, was proposed.

First published online 11 April 2016

Keyword : signal controlled intersections, red-light running (RLR), second after red-light onset, traffic accidents, danger degree, countermeasures

Language: en

Keywords

countermeasures; danger degree; red-light running (RLR); second after red-light onset; signal controlled intersections; traffic accidents