There is preliminary evidence that enhanced priming for trauma-related cues plays a role in posttraumatic stress disorder (PTSD). A prospective study of 119 motor vehicle accident survivors investigated whether priming for trauma-related stimuli predicts PTSD. Participants completed a modified word-stem completion test comprising accident-related, traffic-related, general threat, and neutral wo...

Analysis of road accident is very important in a developing country. This projects aims at designing a cloud based framework for analysing road accident. The reason for accidents are because of various factors like road conditions, vehicle conditions, human driving conditions, weather conditions, experience of drivers and nature of traffic. It is highly possible that these accidents occur due t...

In our previous studies,1,2,3) it was shown that the mortality from motor vehicle accident is affected by various psychosocial factors such as social mobility, high income, aging population, occupation, type of automobiles and climate . In this study, we aim at exploring neurobehavioral predictors which could distinguish the traffic accident-prone drivers from safe drivers ; eleven factors are ...

We propose a forensic VANET application to aid an accurate accident reconstruction. Our application provides a new source of objective real-time data impossible to collect using existing methods. By leveraging inter-vehicle communications, we compile digital evidence describing events before, during, and after an accident in its entirety. In addition to sensors data and major components status,...

The issue of road accidents is an increasing problem in developing countries. This could be due to increasing road traffic/vehicle occupancy. This has been increasing over years. Regulating traffic on roads is an important task. There by reducing accidents in accident prone zones. The accident was drastically increased over a decade from 4% to 31%. This is a alarming issue. The analysis and ide...

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...

With the increase in the number of high speed motor vehicle accidents, blunt, non-penetrating trauma to the heart has become an important health problem. An unusual case is reported of a 15 year old boy urgently referred with cardiac tamponade and a new systolic murmur four months after a car accident. The problems of the diagnosis and possible causes of late cardiac tamponade and tricuspid reg...

This paper presents a novel non-parametric methodology--rough set theory--for accident occurrence exploration. The rough set theory allows researchers to analyze accidents in multiple dimensions and to model accident occurrence as factor chains. Factor chains are composed of driver characteristics, trip characteristics, driver behavior and environment factors that imply typical accident occurre...

The development of an advanced safety vehicle (ASV) has primary importance for automobile manufactures and customers. The safety measures of modern vehicles involve active and passive safety. Active safety devices provide the driver with warning signals or aaect the vehicle's motion in order to prevent an accident. Passive safety devices help to avoid injuires and post-collision hazards if an a...