Results 11 to 20 of about 1,678,255 (329)
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 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
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
Spatiotemporal Analysis of Traffic Accidents Hotspots Based on Geospatial Techniques
ISPRS Int. J. Geo Inf., 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
semanticscholar +1 more source
Sustainability, 2022 The main aim of the present study was to investigate the spatiotemporal trends of urban traffic accident hotspots during the COVID-19 pandemic. The severity index was used to determine high-risk areas, and the kernel density estimation method was used to
B. Feizizadeh +5 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
British Educational Research Journal, EarlyView., 2023 Abstract Early childhood has increasingly been acknowledged as a vital time for all children. Inclusive and quality education is part of the United Nations Sustainable Development Goals, with the further specification that all children have access to quality pre‐primary education.
Laura H. V. Wright +8 more
wiley +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
Understanding the Effect of Traffic Congestion on Accidents Using Big Data
Sustainability, 2021 Understanding the temporal and spatial dynamics of traffic accidents are a key determinant in their mitigation. This article leverages big data and a Poisson model with fixed effects to understand the causality of traffic congestion on road accidents in ...
Santiago Sánchez González +2 more
semanticscholar +1 more source