Road accident prediction plays an important role in accessing and improving the road safety. Besides the conventional generalized linear regression, the prediction approaches based on fuzzy logic and neural networks have increasingly been proven to have a significant accident-predicting capability in recent years. However, fuzzy logic and neural network have their respective limitations. For ex...

This paper aims at understanding why road accidents tend to cluster in specific road segments. More particularly, it aims at analyzing which are the characteristics of the accidents occurring in "black" zones compared to those scattered all over the road. A technique of frequent item sets (data mining) is applied for automatically identifying accident circumstances that frequently occur togethe...

Purpose The main purpose was to integrate two strategies for road safety analyses (qualitative: audits, inspections; and quantitative: accident predictions) and develop a possible protocol for the safety interventions on existing two-lane rural road segments. Those road sections do not typically belong to the TEN-network, to which the 2008/96/EC Directive is mainly oriented. Hence, they could l...

introduction: sleepiness may predispose drivers to road traffic accidents. obstructive sleep apnea syndrome is the most common medical cause of sleepiness. hence increased neck circumference (nc) and obesity are known as obstructive sleep apnea syndrome risk factors. this study was conducted to assess osas role in occurrence of road traffic accidents in sleeping drivers of commercial heavy vehi...

sleep deprivation is a condition of not having enough sleep it can be either chronic or acute. a chronic sleep-restricted state can cause fatigue. fatigue is a subjective state related to sleep deprivation, the more someone is deprived of sleep the more likely that person is to be fatigued. several studies indicated that drowsiness/fatigue can affect steering performance and speed control. rese...

background:accident is the secondary cause of mortality in iran, background of its occurrence and mortality are not wholly understood. the aim of this paper is to explain seasonal occurrence and mortality pattern of traffic accidents in isfahan population, iranmethods: this study is a cross-sectional analytic study. we extracted data on traffic accidents for isfahan province from the ministry o...

Analysis of fatality automobile accident data can be challenging in rural areas where a relatively small number of such accidents occurs on specific sections of highways. Combining crash data from the Fatality Analysis Reporting System (FARS) and highway networks and design specifications from the Oklahoma Department of Transportation (ODOT), this article employs Poisson regression analysis to ...

Most accident prediction models belong to the count data regression models, in particular the negative binomial model, which assumes all data or cases are statistically independent. This assumption, however, may be violated when repeated observations over multiple periods (e.g., yearly accident counts) at the same locations (e.g., intersections and road segments) are used as independent cases i...

A method for deriving quantitative relationships between road slipperiness, traffic accident risk and winter road maintenance (WRM) activity is described. The method is also applied to data from an area in southern Sweden. If a specific type of road slipperiness represents a large accident risk despite high WRM activity it is important to increase public awareness during such periods. If the ty...

68 • IATSS RESEARCH Vol.27 No.1, 2003 PERSONALITY AND SPEEDING – Some Policy Implications – Richard TAY Philip CHAMPNESS Barry WATSON Associate Professor in Road Safety Centre for Accident Research & Road Safety Centre for Accident Research & Road Safety Centre for Accident Research & Road Safety Queensland University of Technology Queensland University of Technology Queensland University of Te...