Many cities in the world seek to establish more sustainable urban transport systems with a
view to reduce accidents, congestion, air and noise pollution, and to improve social …

Although much of the knowledge in transportation psychology has been gained by means of
self-report measures, there is still a dispute regarding the usefulness and validity of such …

In crash frequency models, frequency by severity level is examined with multivariate count
models. In these multivariate approaches the impact of exogenous variables is quantified …

This paper proposes a random-parameter bivariate zero-inflated negative binomial
(RBZINB) regression model for analyzing the effects of investigated variables on crash …

Objective There is very little information available about the characteristics of drivers
convicted for traffic offences. The objective of this study was to perform a comparative …

The objective of this work is to identify characteristics of different metrics of exposure for
quantifying multi-modal travel injury risk. First, a discussion on the use of time-based and trip …

In Malaysia, road accidents are major concern that needs to be resolved by the related
authorities. The human is the most significant factor in road accidents especially among …

In the recent years, Prediction models of crash frequency have been employed to estimate
accident rate and have been remarkably taken into account for safety improvement plan …

This paper emphasizes the importance of Data Mining classification algorithms in predicting
the vehicle collision patterns oc curred in road accident data set. This paper is aimed at …

The aim of this study is to show that the decision rules generated from Rough Sets Theory
can be used for a new relational analysis. Rough Sets Theory generally works with small …