Results 1 to 10 of about 59,718 (197)

A hybrid ARIMA-BP approach for superior accuracy in predicting traffic accident losses [PDF]

Scientific Reports
Accurately 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, Zhuqing Zhang, Bin Lyu, Rui Feng, Ye He   +4 more
doaj   +2 more sources

TRAFFIC ACCIDENTS

The Professional Medical Journal, 2009
O b j e c t i v e : To find out the correlation between different types of skull fractures and intracranial lesions in traffic accidents.Setting : Patients examined in surgical emergency Allied Hospital, Punjab Medical College, Faisalabad. D u r a t i o n : Two years from 1s tJanuary 1996 to 31 December 1997.
ANWAR SAOOD SAQIB, MUHAMMAD REHMAN GULZAR, IRFAN AHMED MUGHAL   +2 more
openaire   +3 more sources

A traffic accident dataset for Chattanooga, Tennessee [PDF]

Data in Brief
This 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, Pablo Moriano, Haowen Xu, Sarah Tennille, Lee Smith, Jonathan Storey, Jibonananda Sanyal   +6 more
doaj   +2 more sources

Estimation of the traffic accidents costs in Serbia by using dominant costs model

Transport, 2012
This paper presents estimation of the traffic accident costs in Serbia, based on original dominant costs model. Dominant costs model uses human capital approach and this model is developed for simple and quick calculation of the traffic accidents costs ...
Boris Antić, Milan Vujanić, Krsto Lipovac, Dalibor Pešić   +3 more
doaj   +3 more sources

Nonlinear effects of traffic statuses and road geometries on highway traffic accident severity: A machine learning approach. [PDF]

PLoS ONE
The 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, Hongxia Yuan, Zhenwu Wang, Zhongjin Wan, Tiantian Liu, Bing Wu, Shijie Chen, Xiaobo Tang   +7 more
doaj   +2 more sources

"Golden Hour" in Road Traffic Accident Victims: Hurdles and Impact on Mortality. [PDF]

Cureus
Gaikwad SA, Shinde VD, Kothavale SP.
europepmc   +3 more sources

Prevalence of motorcycle accidents and associated factors among road traffic accident victims in Accra, Ghana [PDF]

Ghana Med J
Luther V, Bandoh D, Addo-Lartey A.
europepmc   +3 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, Mohammed Abdurrahman, Takele Asefa, Ismailov Astan, Mannobboyev Shuxratbek   +4 more
doaj   +1 more source

Micro-mobility and road safety: why do e-scooter riders use the sidewalk? Evidence from a German field study

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, Madlen Ringhand, Tibor Petzoldt, Tina Gehlert   +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, Min Zhang, Jiazhen Tang, Jian Ma, Xiaoke Duan, Juan Sun, Xiaofei Hu, Suchuan Xu   +7 more
doaj   +1 more source