A hybrid ARIMA-BP approach for superior accuracy in predicting traffic accident losses [PDF]
Scientific ReportsAccurately predicting losses resulting from traffic accidents holds crucial significance for accident prevention. Traffic accident forecasting faces challenges. For example, traffic accident forecasting models often exhibit suboptimal accuracy.
Jian Liu +4 more
doaj +2 more sources
A traffic accident dataset for Chattanooga, Tennessee [PDF]
Data in BriefThis publication presents an annotated accident dataset which fuses traffic data from radar detection sensors, weather condition data, and light condition data with traffic accident data (as illustrated in Fig.
Andy Berres +6 more
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Nonlinear effects of traffic statuses and road geometries on highway traffic accident severity: A machine learning approach. [PDF]
PLoS ONEThe purpose of this study is to explore nonlinear and threshold effects of traffic statuses and road geometries, as well as their interactions, on traffic accident severity.
Yao Liang +7 more
doaj +2 more sources
Modelling and analysis of vehicle accident under mixed traffic conditions in Ilu Ababor zone, Ethiopia [PDF]
E3S Web of Conferences, 2023 Modelling and analysis of traffic accident has vital role in reduction of vehicle accident. This study is aimed to assess the rate traffic accident over the ranges of several years and to model traffic accident with influencing parameters.
Rage Fikedu +4 more
doaj +1 more source
European Transport Research Review, 2023 Objectives Since their introduction in 2019, the use of e-scooters has become widespread in Germany. Concerns about road safety, especially pedestrian safety, have arisen as the popularity of micro-mobility has grown.
Juliane Anke +3 more
doaj +1 more source
Analysis of Traffic Accident Based on Knowledge Graph
Journal of Advanced Transportation, 2022 Traffic accident data include multidimensional dynamic and static factors such as “people, vehicles, roads, and environment” at the time of the accident, which is one of the important data sources for improving the traffic safety environment.
Liyan Zhang +7 more
doaj +1 more source
Identification of potential traffic accident hot spots based on accident data and GIS [PDF]
MATEC Web of Conferences, 2020 The problem of road traffic safety has been widely concerned in recent years. The identification of traffic accident hot spots can effectively improve the road traffic safety and let the traffic managers formulate targeted improvement measures and ...
Zhu Hongge, Zhou Yuntong, Chen Yanyan
doaj +1 more source
Accident Detection and Flow Prediction for Connected and Automated Transport Systems
Journal of Advanced Transportation, 2023 Effective accident detection and traffic flow forecasting are of great importance for quick respond, impact elimination and intelligent control of the traffic flow consisting of autonomous vehicles. This paper proposes a traffic accident detection method
Yi Zhang +4 more
doaj +1 more source
Traffic Accident Data Generation Based on Improved Generative Adversarial Networks
Sensors, 2021 For urban traffic, traffic accidents are the most direct and serious risk to people’s lives, and rapid recognition and warning of traffic accidents is an important remedy to reduce their harmful effects.
Zhijun Chen +3 more
doaj +1 more source
ACQUISITION AND ANALYSIS OF TRAFFIC ACCIDENT SCENE INFORMATION BASED ON LASER POINT CLOUD [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 With the rapid development of the economy, the number of vehicles in China has increased rapidly, which has also brought about frequent ills in traffic accidents.
Y. M. Zheng +4 more
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