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Promet - Traffic&Transportation journal

Accelerating Discoveries in Traffic Science

Accelerating Discoveries in Traffic Science

PUBLISHED
31.08.2016
LICENSE
Copyright (c) 2024 Draženko Glavić, Miloš Mladenović, Aleksandar Stevanovic, Vladan Tubić, Marina Milenković, Marijo Vidas

Contribution to Accident Prediction Models Development for Rural Two-Lane Roads in Serbia

Authors:

Draženko Glavić

Miloš Mladenović
Aalto University, Department of Civil and Environmental Engineering

Aleksandar Stevanovic
Florida Atlantic University

Vladan Tubić
University of Belgrade, The Faculty of Transport and Traffic Engineering

Marina Milenković
University of Belgrade, The Faculty of Transport and Traffic Engineering

Marijo Vidas
University of Belgrade, The Faculty of Transport and Traffic Engineering

Keywords:road accident modelling, traffic safety, traffic characteristics, road characteristics, regression analysis,

Abstract

Over the last three decades numerous research efforts have been conducted worldwide to determine the relationship between traffic accidents and traffic and road characteristics. So far, the mentioned studies have not been carried out in Serbia and in the region. This paper represents one of the first attempts to develop accident prediction models in Serbia. The paper provides a comprehensive literature review, describes procedures for collection and analysis of the traffic accident data, as well as the methodology used to develop the accident prediction models. The paper presents models obtained by both univariate and multivariate regression analyses. The obtained results are compared to the results of other studies and comparisons are discussed. Finally, the paper presents conclusions and important points for future research. The results of this research can find theoretical as well as practical application.

References

  1. Aurelio M, Paolo P, Nicola F. Evaluation of the applicability of IHSDM Crash Prediction Module on Italian two-lane rural roads. Procedia - Social and Behavioral Sciences. 2012;53:933-942.

    Lord D, Persaud BN. Accident Prediction Models With and Without Trend: Application of the Generalized Estimating Equations (GEE) Procedure. Transportation Research Board, Paper No. 00-0496; Washington, D.C.; 2000.

    Matthew GK, Golias I. Effects of road geometry and traffic volumes on rural roadway accident rates. Accident Analysis & Prevention. 2002;34(3):357-365.

    Polus A, Cohen M. A new, non-canonical Poisson regression model for the prediction of crashes on low-volume rural roads. IATSS Research. 2012;35 (2):98-103.

    Joshua S, Garber N. Estimating truck accident rate and involvement using linear and Poisson regression models. Transportation Planning and Technology. 1990;15(1):41-58.

    Milton J, Mannering F. The relationship among highway geometrics, traffic-related elements and motor-vehicle ac

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How to Cite
Glavić, D. (et al.) 2016. Contribution to Accident Prediction Models Development for Rural Two-Lane Roads in Serbia. Traffic&Transportation Journal. 28, 4 (Aug. 2016), 415-424. DOI: https://doi.org/10.7307/ptt.v28i4.1908.

SPECIAL ISSUE IS OUT

Guest Editor: Eleonora Papadimitriou, PhD

Editors: Marko Matulin, PhD, Dario Babić, PhD, Marko Ševrović, PhD


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