Results 11 to 20 of about 1,644,237 (298)
A deep learning approach for detecting traffic accidents from social media data [PDF]
Zhang, Z., He, Q., Gao, J. and Ni, M., 2018. A deep learning
approach for detecting traffic accidents from social media data.
Transportation Research Part C: Emerging Technologies, 86, pp.580-596, 2018 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 ...
Zhenhua Zhang, Qi He, Jing Gao, Ming Ni
semanticscholar +2 more sources
Categorizing datasets of road traffic accidents in Oman spanning from 2012 to 2022 [PDF]
Data in BriefRoad traffic accidents constitute the primary cause of fatalities associated with injuries and engender substantial economic ramifications for affected individuals, their families, and entire nations.
Hussin A. M Yahia +5 more
doaj +2 more sources
Promet (Zagreb), 2023 Young drivers represent the most vulnerable age group at risk of participating in traffic accidents. In order to reduce the occurrence of traffic accidents involving young drivers, various models for assessing the risk of accidents have been studied ...
Grgo Luburić +2 more
doaj +1 more source
The Human Factor In Traffic Accidents [PDF]
Ankara Üniversitesi SBF Dergisi, 1980 Cevat Geray
openalex +5 more sources
SARIMA Modelling Approach for Forecasting of Traffic Accidents
Sustainability, 2022 To achieve greater sustainability of the traffic system, the trend of traffic accidents in road traffic was analysed. Injuries from traffic accidents are among the leading factors in the suffering of people around the world.
Nemanja Deretić +4 more
semanticscholar +1 more source
Exploring the Impact of Climate and Extreme Weather on Fatal Traffic Accidents
Sustainability, 2021 Climate change and the extreme weather have a negative impact on road traffic safety, resulting in severe road traffic accidents. In this study, a negative binomial model and a log-change model are proposed to analyse the impact of various factors on ...
Y. Zou, Yue Zhang, Kai Cheng
semanticscholar +1 more source
Automatic Detection of Traffic Accidents from Video Using Deep Learning Techniques
De Computis, 2021 According to worldwide statistics, traffic accidents are the cause of a high percentage of violent deaths. The time taken to send the medical response to the accident site is largely affected by the human factor and correlates with survival probability ...
Sergio Robles-Serrano +2 more
semanticscholar +1 more source
Computing Traffic Accident High-Risk Locations Using Graph Analytics [PDF]
Spatial Information Research (2022), 2022 Analysis of the dynamic relationship between traffic accident events and road network topology based on connectivity and graph analytics offers a new approach to identifying, ranking and profiling traffic accident high risk-locations at different levels of space and time granularities.
arxiv +1 more source
Ontology-Based Traffic Accident Information Extraction on Twitter In Indonesia
Inteligencia Artificial, 2022 Traffic accidents become one of the events that often occur in Indonesia. From the three-monthly report by the Indonesian National Police Traffic Police, there are about 25,000 traffic accidents.
Nur Aini Rakhmawati +3 more
doaj +3 more sources
Albanian Journal of Trauma and Emergency Surgery, 2022 Introduction: Around 1.250000 people die each year due to traffic accidents. Traffic accident injuries are the leading cause of death in the most productive age group – 20-45 years old.
Isuf Bajrami +2 more
doaj +1 more source