Literature DB >> 25662877

Safety analysis of urban signalized intersections under mixed traffic.

Anjana S1, Anjaneyulu M V L R2.   

Abstract

INTRODUCTION: This study examined the crash causative factors of signalized intersections under mixed traffic using advanced statistical models.
METHOD: Hierarchical Poisson regression and logistic regression models were developed to predict the crash frequency and severity of signalized intersection approaches. The prediction models helped to develop general safety countermeasures for signalized intersections.
RESULTS: The study shows that exclusive left turn lanes and countdown timers are beneficial for improving the safety of signalized intersections. Safety is also influenced by the presence of a surveillance camera, green time, median width, traffic volume, and proportion of two wheelers in the traffic stream. The factors that influence the severity of crashes were also identified in this study. PRACTICAL APPLICATION: As a practical application, the safe values of deviation of green time provided from design green time, with varying traffic volume, is presented in this study. This is a useful tool for setting the appropriate green time for a signalized intersection approach with variations in the traffic volume.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Keywords:  Crash frequency prediction; Crash severity prediction; Hierarchical structure; Signal control

Mesh:

Year:  2014        PMID: 25662877     DOI: 10.1016/j.jsr.2014.11.001

Source DB:  PubMed          Journal:  J Safety Res        ISSN: 0022-4375


  2 in total

1.  Left-turning vehicle-pedestrian conflicts at signalized intersections with traffic lights: Benefit or harm? A two-stage study.

Authors:  Yi-Ling He; Ruo-Tong Li; Li Li; David C Schwebel; He-Lai Huang; Qing-Yi Yin; Guo-Qing Hu
Journal:  Chin J Traumatol       Date:  2019-03-11

2.  Investigating influence factors of traffic violations at signalized intersections using data gathered from traffic enforcement camera.

Authors:  Chuanyun Fu; Hua Liu
Journal:  PLoS One       Date:  2020-03-04       Impact factor: 3.240

  2 in total

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