Results 251 to 260 of about 82,495 (263)

Predicting crash likelihood and severity on freeways with real-time loop detector data

Accident Analysis & Prevention, 2013
Real-time crash risk prediction using traffic data collected from loop detector stations is useful in dynamic safety management systems aimed at improving traffic safety through application of proactive safety countermeasures. The major drawback of most of the existing studies is that they focus on the crash risk without consideration of crash severity.
Chengcheng, Xu, Andrew P, Tarko, Wei, Wang, Pan, Liu   +3 more
openaire   +2 more sources

Predicting Crashes on Expressway Ramps with Real-Time Traffic and Weather Data

Transportation Research Record: Journal of the Transportation Research Board, 2015
Limited research has been conducted on real-time crash analysis of expressway ramps, although there have been many studies in recent years on estimating real-time crash prediction models for main lines. This study presents Bayesian logistic regression models for single-vehicle (SV) and multivehicle (MV) crashes on expressway ramps by using real-time ...
Wang, Ling, Shi, Qi, Abdel-Aty, Mohamed
openaire   +2 more sources

Artificial intelligence technology for real time injury prediction in motor vehicle crashes

Traffic Injury Prevention, 2019
Estimation of injuries at motor vehicle scenes is a key component in establishing triage necessity, urgency and destination.
Itay Bengad, Gilad Avrashi
openaire   +1 more source

Comparing Machine Learning and Deep Learning Methods for Real-Time Crash Prediction

Transportation Research Record: Journal of the Transportation Research Board, 2019
Although there are numerous studies examining the impact of real-time traffic and weather parameters on crash occurrence on freeways, to the best of the authors’ knowledge there are no studies which have compared the prediction performances of machine learning (ML) and deep learning (DL) models. The present study adds to current knowledge by comparing
Athanasios Theofilatos, Cong Chen, Constantinos Antoniou   +2 more
openaire   +1 more source

Evaluating the performance of traffic conflict measures in real-time crash risk prediction using pre-crash vehicle trajectories

Accident Analysis & Prevention
The primary objective of this study was to evaluate the performance of traffic conflict measures for real-time crash risk prediction. Drone recordings were collected from a freeway section in Nanjing, China, over a year. Twenty rear-end crashes and their associated trajectories were obtained.
Kequan Chen, Chengcheng Xu, Pan Liu, Zhibin Li, Yuxuan Wang   +4 more
openaire   +2 more sources

Real-time crash potential prediction on freeways using connected vehicle data

Analytic Methods in Accident Research, 2022
Shile Zhang, Mohamed Abdel-Aty
openaire   +1 more source

Utilizing Ensemble Learning Methods in Real-Time Traffic Crash Prediction

CICTP 2018, 2018
Mengdi Xue, Jie Huang, Zhen Gao, Ping Sun   +3 more
openaire   +1 more source

Real-Time Crash Prediction Estimation of Freeway Safety: A Review

CICTP 2017, 2018
Wenhui Chu, Hui Zhang
openaire   +1 more source

Freeway real-time crash prediction using floating car data

Transportation Research Part C: Emerging Technologies
Yifan Wang, Xuesong Wang, Tonggen Wang, Mohammed Quddus   +3 more
openaire   +1 more source

Risk Index Modeling for Real-Time Motorway Traffic Crash Prediction

2009
Habib Haj-Salem, Jean-Patrick Lebacque
openaire   +1 more source