Background and aims: This study aimed to investigate the deaths and injuries following pedestrian traffic accidents and factors associated with death of pedestrian in Tehran and Alborz provinces. Methods: In this cross-sectional study all traffic accidents related to pedestrians in Tehran and Alborz provinces reported from March 21, 2013 to March 21, 2014...

Nowadays vehicles are increasing day by day in town and cities roads. It is a well-known problem to manage traffics on the roads in towns and cities. A lot of accident occurs on the road due to careless driving and Technical faults in vehicles. The main problem of traffic authorities is to manage the traffic on the road for the smooth functioning of vehicles that can reduce the accident and vio...

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...

This paper employs deep learning in detecting the traffic accident from social media data. First, we thoroughly investigate the 1-year over 3 million tweet contents in two metropolitan areas: Northern Virginia and New York City. Our results show that paired tokens can capture the association rules inherent in the accident-related tweets and further increase the accuracy of the traffic accident ...

BACKGROUND Population-based estimates of traffic accidents (TAs) are not readily available for developing countries. This study examined the contribution of socioeconomic status (SES) to the risk of TA among Iranian adults. METHODS A total of 64,200people aged ≥18years were identified from 2008 Urban Health Equity Assessment and Response Tool (Urban HEART) survey. 22,128 households were inter...

background: traffic accidents are the main cause of death and disability in the world and iran. the injuries caused by traffic accidents may result in severe limitations and worst outcomes in various aspects of lives of traffic accident injured people and their families. therefore, understanding their experiences is very important to design better programs with regard to their treatment and ret...

This study describes the experimental application of Machine Learning techniques to build prediction models that can assess the injury risk associated with traffic accidents. This work uses an freely available data set of traffic accident records that took place in the city of Porto Alegre/RS (Brazil) during the year of 2013. This study also provides an analysis of the most important attributes...

----Every day around the world, a large percentage of people die from traffic accident injuries. An effective approach for reducing traffic fatalities is: first building automatic traffic accident detection system, second, reducing the time between when an accident occurs and when first emergency responders are dispatched to the scene of the accident. Recent approaches are using built-in vehicl...

The continuous development of sensors and the Internet Things has produced a large amount traffic data with location information. improvement safety benefits from availability accident data. Managers can patrol control relevant areas in advance limited police resources, according to short-term predictions. As result, possibility accidents be reduced, level improved. traditional approach predict...