Results 11 to 20 of about 1,628,690 (350)
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
Feature Recognition of Urban Road Traffic Accidents Based on GA-XGBoost in the Context of Big Data
IEEE Access, 2019 The identification of the characteristics of urban road traffic accidents is of great significance for reducing traffic accidents and the corresponding losses. In the context of big data, to accurately understand the characteristics of traffic accidents,
Yi Qu +3 more
doaj +2 more sources
Spatiotemporal Analysis of Traffic Accidents Hotspots Based on Geospatial Techniques
ISPRS International Journal of Geo-Information, 2022 This paper aims to explore the spatiotemporal pattern of traffic accidents using five years of data between 2015 and 2019 for the Irbid Governorate, Jordan.
Khaled Hazaymeh +2 more
doaj +2 more sources
Spatiotemporal characteristics of elderly population's traffic accidents in Seoul using space-time cube and space-time kernel density estimation. [PDF]
PLoS ONE, 2018 The purpose of this study is to analyze how the spatiotemporal characteristics of traffic accidents involving the elderly population in Seoul are changing by time period.
Youngok Kang, Nahye Cho, Serin Son
doaj +2 more sources
A Dynamic Spatial-Temporal Attention Network for Early Anticipation of Traffic Accidents [PDF]
IEEE transactions on intelligent transportation systems (Print), 2021 The rapid advancement of sensor technologies and artificial intelligence are creating new opportunities for traffic safety enhancement. Dashboard cameras (dashcams) have been widely deployed on both human driving vehicles and automated driving vehicles ...
Muhammad Monjurul Karim +3 more
semanticscholar +1 more source
Iranian Journal of Public Health, 2022 Background: In the classification of road accidents, type 2 traffic accidents and non-traffic accidents are not considered and in Iran so far no special study has been done in the field of type 2 traffic accidents and non-traffic accidents, so we aimed ...
Jalil Hasani +2 more
doaj +1 more source
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
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