Prediction of vehicle traffic accidents using bayesian networks
Journal Title: Scientific Journal of Pure and Applied Sciences - Year 2014, Vol 3, Issue 6
Abstract
Every year, thousands of vehicle accidents occur in Iran and result thousands of deaths, injuries and material damage in country. Various factors such as driver characteristics, road characteristics, vehicle characteristics and atmospheric conditions affect the injuries severity of these accidents. In order to reduce the number and severity of these accidents, their analysis and prediction is essential. Currently, the accidents related data are collected which can be used to predict and prevent them. New technologies have enabled humans to collect the large volume of data in continuous and regular ways. One of these methods is to use Bayesian networks. Using the literature review, in this study a new method for analysis and prediction of vehicle traffic accidents is presented. These networks can be used for classification of traffic accidents, hazardous locations of roads and factors affecting accidents severity. Using of the results of the analysis of these networks will help to reduce the number of accidents and their severity. In addition, we can use the results of this analysis for developing of safety regulations.
Authors and Affiliations
S. Sh. Alizadeh| Ph D. Candidate of Occupational Health Engineering, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran., S. B. Mortazavi*| Ph D. Candidate of Occupational Health Engineering, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran., M. M. Sepehri| Associate Professor of Department of Industrial Engineering, Faculty of Engineering, Tarbiat Modares University,Tehran, Iran.
Keywords
Related Articles
- EP ID EP356
- DOI 10.14196/sjpas.v3i6.1517
- Views 478
- Downloads 19
3D CAD for concept design - a case study
Generally for any new design initially a concept layout in 2D CAD is generated. But sometimes if the geometry of product becomes complicated, then 3D CAD model is preferred. Because 3D CAD model can give us a complete...
Salient factors in the low utilization of PICS bags (triple-bagging) in Nasarawa local government area of Kano state, Ni
Thepaper asserts that cowpea is a major nutritional legume in West Africa and thatthe grain experiences great losses at postharvest stages especially at storage.It posits that hermetic storage which the PICS is one of...
Study and research on the possibility of benefitting from nanotechnology in architecture design of buildings of tehran c
Nano is extracted from the Greek word of “Nanos”meaning midget. Nanotechnology defines the behavior of materials in nanometerscales (m10-9), and in this scale, the materials behave completelydifferent from the behavior...
Impact of political stability on the macroeconomic variables and FDI of Pakistan
In this paper we have discussed the vital role of political stability on the link between macroeconomic variables and FDI. For this purpose we have used a data of year 1991 to 2011. In this empirical analysis we have u...
The effect of wheat boiling time, bulgur particle size, drying time and temperature on some physical properties of hot a
Tarkineh is one of the traditional products of western part of Iran. This work was carried out to study drying behavior of Tarkineh. The effect of wheat boiling time (0, 1 and 3.5 hours), drying temperature (70, 80 a...