@article{ref1,
title="Development of crash prediction models for uncontrolled intersections",
journal="International journal of engineering technology science and research",
year="2018",
author="Lakshmipriya, C. P.",
volume="5",
number="5",
pages="104-110",
abstract="Statistical or crash prediction models have frequently been used in highway safety studies. A crash prediction model is a mathematical formula describing the relation between the safety level of existing roads and variables that explain this level. They can be used in identifying major contributing factors or establish relationship between crashes and explanatory variables, such as traffic flows, speed parameters, and highway geometric variables. This study involves the development of crash prediction models for uncontrolled intersections of the urban regions of Calicut district.Different modelling techniques like linear regression and generalised linear models were used for the study.The number of crashes was considered as the dependent variable and the traffic volume, speed and geometric data were taken as the independent variables. Four legged intersections were considered for the study. Models were developed at the intersection level and at the approach level. These models can predict the safety of various uncontrolled intersections.Suitable improvements in the geometric characteristics of the intersection can be done by identifying the factors which cause the crashes.    Keywords Crash Prediction Models (CPM); Intersections; Uncontrolled; Approach speed; Geometric data<p /> <p>Language: en</p>",
language="en",
issn="2394-3386",
doi="",
url="http://dx.doi.org/"
}