Articles with "traffic accident" as a keyword



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Severity Prediction of Traffic Accident Using an Artificial Neural Network

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Published in 2017 at "Journal of Forecasting"

DOI: 10.1002/for.2425

Abstract: In this paper, an artificial neural network (ANN) was used to predict the injury severity of traffic accidents based on 5973 traffic accident records occurred in Abu Dhabi over a 6-year period (from 2008 to… read more here.

Keywords: traffic; accuracy; accident; severity ... See more keywords
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The assessment of traffic accident risk based on grey relational analysis and fuzzy comprehensive evaluation method

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Published in 2017 at "Natural Hazards"

DOI: 10.1007/s11069-017-2923-2

Abstract: The traffic accident risk includes three aspects, traffic accident probability, traffic accident severity, and traffic accident trend respectively. In this paper, nine indicators are selected to evaluate the traffic accident risk. The grey relational analysis… read more here.

Keywords: traffic accident; risk; accident risk; method ... See more keywords
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Suicides and road traffic deaths in Russia: A comparative analysis of trends

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Published in 2017 at "European Psychiatry"

DOI: 10.1016/j.eurpsy.2017.01.1812

Abstract: Introduction It has long been recognized that there are difficulties in obtaining valid mortality rates for suicides. The evidence indicated that suicides are sometimes misclassified and “hidden” as accidental. Suicide by motor vehicle crash is… read more here.

Keywords: road traffic; accident mortality; traffic accident; road ... See more keywords
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Using HLM to investigate the relationship between traffic accident risk of private vehicles and public transportation

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Published in 2019 at "Transportation Research Part A: Policy and Practice"

DOI: 10.1016/j.tra.2018.11.005

Abstract: Public transportation is relatively safe and secure, although less convenient than private modes of transport. However, current trends indicate that, by 2030, road traffic injuries will be the fifth leading cause of death globally. This… read more here.

Keywords: traffic accident; transportation; risk; accident risk ... See more keywords
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Traffic accident risk perception among drivers: a latent variable approach

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Published in 2020 at "Transportation Planning and Technology"

DOI: 10.1080/03081060.2020.1735763

Abstract: ABSTRACT Governments require decision tools to deal with road traffic accidents, a pandemic resulting in millions of deaths around the world. Evidence shows that human factors are one of the major causes of road accidents,… read more here.

Keywords: traffic; traffic accident; accident risk; perception ... See more keywords
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Traffic accident hotspot identification by integrating kernel density estimation and spatial autocorrelation analysis: a case study

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Published in 2020 at "International Journal of Crashworthiness"

DOI: 10.1080/13588265.2020.1826800

Abstract: The study presented an approach that integrated kernel density estimation (KDE) algorithm and spatial autocorrelation analysis, which helped to determine traffic accident (TA) hotspot locations and... read more here.

Keywords: kernel density; density estimation; spatial autocorrelation; accident hotspot ... See more keywords
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Traffic Accident’s Severity Prediction: A Deep-Learning Approach-Based CNN Network

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Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2903319

Abstract: In traffic accident, an accurate and timely severity prediction method is necessary for the successful deployment of an intelligent transportation system to provide corresponding levels of medical aid and transportation in a timely manner. The… read more here.

Keywords: severity prediction; traffic accident; traffic;
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Traffic Accident Detection via Self-Supervised Consistency Learning in Driving Scenarios

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Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2022.3157254

Abstract: With the rapid progress of autonomous driving and advanced driver assistance systems, there are growing efforts to promote their safety in natural driving scenarios, especially for the detection of the traffic accidents. However, because of… read more here.

Keywords: consistency; traffic accident; consistency learning; accident detection ... See more keywords
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MG-TAR: Multi-View Graph Convolutional Networks for Traffic Accident Risk Prediction

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Published in 2023 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2023.3237072

Abstract: Due to the continuing colossal socio-economic losses caused by traffic accidents, it is of prime importance to precisely forecast the traffic accident risk to reduce future accidents. In this paper, we use dangerous driving statistics… read more here.

Keywords: risk prediction; accident risk; accident; traffic accident ... See more keywords
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PA 06-6-2190 Knowledge of road traffic accident (RTA) and its risk factors among teenagers of pokhara, nepal

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Published in 2018 at "Injury Prevention"

DOI: 10.1136/injuryprevention-2018-safety.39

Abstract: Background Trauma is the leading cause of death in the first 4 decades of life worldwide and represents a top priority in prevention efforts and is expected to rise. Road traffic injuries can be prevented,… read more here.

Keywords: traffic; road; risk factors; road traffic ... See more keywords
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An Investigation of the Safety Performance of Roundabouts in Korea Based on a Random Parameters Count Model

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Published in 2018 at "Journal of Advanced Transportation"

DOI: 10.1155/2018/5628293

Abstract: It is well known that a roundabout is an efficient and safe intersection. However, the safety is generally influenced by the given various conditions. This study analyzed the effects of the geometric and traffic flow… read more here.

Keywords: traffic; safety; accident frequency; traffic accident ... See more keywords