The objective of this research is to present a methodology to supplement the conventional traffic safety analysis techniques. This methodology aims at using computer simulation to animate and visualize accident occurrence at high-risk locations. It aids into developing the appropriate safety countermeasures for high-risk locations (e.g., intersections, curves, ramps). A computer accident simula...

A subject of great interest and important investments by governments, navigation system companies and street management authorities is highway safety. In this context, an important role is played by applications designed to warn drivers of upcoming dangers. An example are vehicular accident warning systems, which advertise accident events to approaching vehicles. The effectiveness of currently ...

The quality-control method is improved and used to identify accident black spots on highway. A neural networks prediction model based on three layers BP network is suggested to predict road traffic accident. The dynamic accident power method for macroscopic evaluation is put forward and the concept of highway accident coefficient is advanced in the method. With large numbers of actual traffic a...

The goal of this paper is to evaluate whether the incentives incorporated in toll highway concession contracts in order to encourage private operators to adopt measures to reduce accidents are actually effective at improving safety. To this end, we implemented negative binomial regression models using information about highway characteristics and accident data from toll highway concessions in S...

Multi-vehicle rear-end accidents constitute a substantial portion of the accidents occurring at signalized intersections. To examine the accident characteristics, this study utilized the 2001 Florida traffic accident data to investigate the accident propensity for different vehicle roles (striking or struck) that are involved in the accidents and identify the significant risk factors related to...

In consideration of the safety drivers, we designed a multifunctional intelligent seecurity guarantee integrated system for highway level crossing. Different from existing intersection signs on market, highway-level indicators are based use deep learning and computer vision technology to build convolutional neural network model that can accurately recognize traffic accident images jams in short...

Pavement frictional characteristics are commonly determined by conducting skid tests in accordance with ASTM Standard E274. The results of these tests [skid number (SN)] are used in ranking roads to establish construction priorities and to estimate tirepavement friction in accident analysis. The role of SN in these two applications is addressed. There are serious limitations constraining the us...

A road traffic accident of an unusual nature is presented. The driver of a pickup cab sustained fatal injuries by a large piece of concrete (missile) set in motion consequent to a car crashing onto the centre island of a highway.