The goal of the paper is to investigate impact tire tread depth on road accident risk and develop an rate prediction model. state 4288 vehicle tires using gauge was inspected processed statistically. most worn from each registered for further analy-sis. Based collected data, a statistical model insurance company fleet had been developed. conformity gamma distribu-tion data verified upon applyin...

This Transportation Research Board publication contains the following papers: Assessment of Existing General Purpose Data Bases for Highway Safety Analysis, K.K. Mak, J.G. Viner, and L.I. Griffin, III; Accident Data as a Tool for Highway Risk Management, D.S. Turner and C.W. Colson; Generalized Loglinear Models of Truck Accident Rates, F.F. Saccomanno and C. Buyco; Estimation of Wet Pavement Ex...

In this paper, we consider the problem of modeling and predicting highway accidents in the presence of randomly changing winter driving conditions. Unlike most accident prediction models in the literature, which are typically formulated in a static (e.g. regression models) or discrete time (e.g. time-series models) setting, we propose a continuoustime stochastic model to describe the relation b...

Accident risk has been applied extensively in transportation safety analysis. Risk is often used to describe the level of safety in transportation systems by incorporating a measure of exposure, such as traffic flow or kilometers driven. The most commonly applied definition of accident risk states that risk is a linear function of accidents and traffic flow. This definition, however, creates pr...

Alsau?--lntelligent visual surveillance for road vehicles is a key camponmt for developing autonomous intelligent transportation sys tem. I n this paper, a probabilistic model for prediction of traliic accidents using 3D model based vehicle tracking is proposed. Sample data including motion trajectories are first obtained by 3D model based vehicle tracking. A fuzzy self-organizing neural networ...

a quanitative structure property relationship was proposed to calculate the binary interaction terms of the jouyban-acree model using solubility parameter, boiling point, vapour pressure and density of solvents. the applicability of the proposed method for reproducing solubility data of anthracene in binary solvents has been evaluated using 116 solubility data sets collected from the literature...

short term prediction of traffic flow is one of the most essential elements of all proactive traffic control systems. although various methodologies have been applied to forecast traffic parameters, several researchers have showed that compared with the individual methods, hybrid methods provide more accurate results . these results made the hybrid tools and approaches a more common method for ...