Results 81 to 90 of about 1,644,237 (298)
A Deep Learning Approach to the Citywide Traffic Accident Risk Prediction [PDF]
arXiv, 2017 With the rapid development of urbanization, the boom of vehicle numbers has resulted in serious traffic accidents, which led to casualties and huge economic losses. The ability to predict the risk of traffic accident is important in the prevention of the occurrence of accidents and to reduce the damages caused by accidents in a proactive way.
arxiv
Towards Full Automated Drive in Urban Environments: A Demonstration in GoMentum Station, California
, 2017 Each year, millions of motor vehicle traffic accidents all over the world cause a large number of fatalities, injuries and significant material loss. Automated Driving (AD) has potential to drastically reduce such accidents. In this work, we focus on the
Al-Stouhi, Samir +8 more
core +1 more source
Transportation Research Procedia, 2019 Abstract The society is currently facing a period of information explosion. This term represents a sharp increase in the information provided and the increase in demand for them. The information explosion is based on the integration of information and communication technologies that fundamentally affect social relationships and processes ...
Zdenek Dvorak, Marek Kvet, Roman Kmet
openaire +2 more sources
Analyzing Important Elements for Improving the Safety of Motorways
Applied SciencesThis study aims to identify the factors that influence the occurrence of traffic accidents to improve motorway traffic safety. Various data, including the frequency of traffic accidents, traffic volume, geometric structure, and congestion level, were ...
Yejin Kim +4 more
doaj +1 more source
Assessment of the sleep parameters in patients with obstructive sleep apnea syndrome with a [PDF]
, 2013 Objective: In this study, traffic accident with a history ofobstructive sleep apnea syndrome (OSAS) in patientswith polysomnographic parameters was investigated.Methods: A total of 77 OSAS patients were included inthe study.
A. Çetin Tanrıkulu +7 more
core +1 more source
Identification of Risk Factors Influencing Road Traffic Accidents
, 2018 Road traffic accidents (RTAs) are becoming a major problem around the world, incurring enormous losses of human and economic resources. Recent reports from the World Health Organization (WHO) reveal that each year more than 1.25 million people are killed
M. Touahmia
semanticscholar +1 more source
Smart Road Traffic Accidents Reduction Strategy Based on Intelligent Transportation Systems (TARS)
Italian National Conference on Sensors, 2018 Traffic accidents have become an important problem for governments, researchers and vehicle manufacturers over the last few decades. However, accidents are unfortunate and frequently occur on the road and cause death, damage to infrastructure, and health
Abdulaziz Aldegheishem +6 more
semanticscholar +1 more source
TAD: A Large-Scale Benchmark for Traffic Accidents Detection from Video Surveillance [PDF]
arXiv, 2022 Automatic traffic accidents detection has appealed to the machine vision community due to its implications on the development of autonomous intelligent transportation systems (ITS) and importance to traffic safety. Most previous studies on efficient analysis and prediction of traffic accidents, however, have used small-scale datasets with limited ...
arxiv
Autonomous Accident Monitoring Using Cellular Network Data [PDF]
, 2013 Mobile communication networks constitute large-scale sensor networks that generate huge amounts of data that can be refined into collective mobility patterns.
Gillblad, Daniel +2 more
core +1 more source
HOG, LBP and SVM based Traffic Density Estimation at Intersection
, 2020 Increased amount of vehicular traffic on roads is a significant issue. High amount of vehicular traffic creates traffic congestion, unwanted delays, pollution, money loss, health issues, accidents, emergency vehicle passage and traffic violations that ...
Gadpal, Ayan +4 more
core +1 more source