A dynamic Bayesian network model for real-time crash prediction using traffic speed conditions data
Traffic crashes occurring on freeways/expressways are considered to relate closely to
previous traffic conditions, which are time-varying. Meanwhile, most studies use …
previous traffic conditions, which are time-varying. Meanwhile, most studies use …
A Bayesian network based framework for real-time crash prediction on the basic freeway segments of urban expressways
M Hossain, Y Muromachi - Accident Analysis & Prevention, 2012 - Elsevier
The concept of measuring the crash risk for a very short time window in near future is
gaining more practicality due to the recent advancements in the fields of information systems …
gaining more practicality due to the recent advancements in the fields of information systems …
A Bayesian dynamic updating approach for urban expressway real-time crash risk evaluation
K Yang, X Wang, R Yu - Transportation research part C: emerging …, 2018 - Elsevier
Real-time crash risk evaluation is an emerging analysis topic which can identify crash-prone
traffic conditions and further benefit the implementation of the active traffic safety …
traffic conditions and further benefit the implementation of the active traffic safety …
Real-time crash prediction on expressways using deep generative models
Real-time crash prediction is essential for proactive traffic safety management. However,
developing an accurate prediction model is challenging as the traffic data of crash and non …
developing an accurate prediction model is challenging as the traffic data of crash and non …
Identifying crash propensity using specific traffic speed conditions
M Abdel-Aty, A Pande - Journal of safety Research, 2005 - Elsevier
Introduction: In spite of recent advances in traffic surveillance technology and ever-growing
concern over traffic safety, there have been very few research efforts establishing links …
concern over traffic safety, there have been very few research efforts establishing links …
Real‐time crash prediction on urban expressways: identification of key variables and a hybrid support vector machine model
The traffic safety on expressways is crucial for the efficient operation of the expressway
system, and there is a close relationship between traffic states and crashes on expressways …
system, and there is a close relationship between traffic states and crashes on expressways …
A genetic programming model for real-time crash prediction on freeways
This paper aimed at evaluating the application of the genetic programming (GP) model for
real-time crash prediction on freeways. Traffic, weather, and crash data used in this paper …
real-time crash prediction on freeways. Traffic, weather, and crash data used in this paper …
Real-time crash potential prediction on freeways using connected vehicle data
S Zhang, M Abdel-Aty - Analytic methods in accident research, 2022 - Elsevier
The real-time crash potential prediction model is one of the important components of
proactive traffic management systems. Over the years numerous models have been …
proactive traffic management systems. Over the years numerous models have been …
Convolutional neural networks with refined loss functions for the real-time crash risk analysis
The real-time crash risk analyses were proposed to establish the relationships between
crash occurrence probability and pre-crash traffic operational conditions. Given its great …
crash occurrence probability and pre-crash traffic operational conditions. Given its great …
Transferability and robustness of real-time freeway crash risk assessment
C Shew, A Pande, C Nuworsoo - Journal of safety research, 2013 - Elsevier
Introduction This study examines the data from single loop detectors on northbound (NB) US-
101 in San Jose, California to estimate real-time crash risk assessment models. Method The …
101 in San Jose, California to estimate real-time crash risk assessment models. Method The …