Real-time crash prediction models: State-of-the-art, design pathways and ubiquitous requirements
Proactive traffic safety management systems can monitor traffic conditions in real-time,
identify the formation of unsafe traffic dynamics, and implement suitable interventions to …
identify the formation of unsafe traffic dynamics, and implement suitable interventions to …
A comprehensive review on traffic control modeling for obtaining sustainable objectives in a freeway traffic environment
MS Sheikh, Y Peng - Journal of Advanced Transportation, 2022 - Wiley Online Library
Traffic control strategy plays a significant role in obtaining sustainable objectives because it
not only improves traffic mobility but also enhances traffic management systems. It has been …
not only improves traffic mobility but also enhances traffic management systems. It has been …
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 …
Integrating safety into the fundamental relations of freeway traffic flows: A conflict-based safety assessment framework
Numerous statistical and data-driven modeling frameworks have estimated rear-end
crashes and crash-prone events from macroscopic traffic states which are at the heart of …
crashes and crash-prone events from macroscopic traffic states which are at the heart of …
Improvement of search strategy with k-nearest neighbors approach for traffic state prediction
Having access to the future traffic state information is crucial in maintaining successful
intelligent transportation systems (ITS). However, predicting the future traffic state is a …
intelligent transportation systems (ITS). However, predicting the future traffic state is a …
Real-time rear-end collision-warning system using a multilayer perceptron neural network
The existing rear-end collision warning systems (CWS) that involve the variable perception-
reaction time (PRT) have some negative effects on the collision warning performance due to …
reaction time (PRT) have some negative effects on the collision warning performance due to …
[HTML][HTML] Impact of vehicle speeds and changes in mean speeds on per vehicle-kilometer traffic accident rates in Japan
M Tanishita, B Van Wee - IATSS research, 2017 - Elsevier
Speed and speed variation are widely believed to be key issues in the understanding of
traffic accidents. However, there has not been a substantial amount of research that focuses …
traffic accidents. However, there has not been a substantial amount of research that focuses …
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 …
Traffic control for freeway networks with sustainability-related objectives: Review and future challenges
Sustainability is a key point in the design and management of mobility and traffic systems,
which affects also the development of traffic control strategies for freeway networks …
which affects also the development of traffic control strategies for freeway networks …
Exploring the combined effects of driving situations on freeway rear-end crash risk using naturalistic driving study data
KFK Wu, L Wang - Accident Analysis & Prevention, 2021 - Elsevier
The causes and the crash-generating processes of freeway rear-end (FRE) crashes are
complicated. Previous studies have highlighted the many contributing factors to crash …
complicated. Previous studies have highlighted the many contributing factors to crash …