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 …
Impact of real-time traffic characteristics on freeway crash occurrence: Systematic review and meta-analysis
The development of methods for real-time crash prediction as a function of current or recent
traffic and roadway conditions is gaining increasing attention in the literature. Numerous …
traffic and roadway conditions is gaining increasing attention in the literature. Numerous …
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 …
Evaluation of variable speed limits for real-time freeway safety improvement
M Abdel-Aty, J Dilmore, A Dhindsa - Accident analysis & prevention, 2006 - Elsevier
Use of various variable speed limit (VSL) strategies as a tool for safety improvement on
freeways was evaluated using simulation of a section of Interstate 4 in Orlando, FL. Real …
freeways was evaluated using simulation of a section of Interstate 4 in Orlando, FL. Real …
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 …
Split models for predicting multivehicle crashes during high-speed and low-speed operating conditions on freeways
The future of traffic management and highway safety lies in proactive traffic management
systems. Crash prediction models that use real-time traffic flow variables measured through …
systems. Crash prediction models that use real-time traffic flow variables measured through …
Real-time prediction of visibility related crashes
More researchers started using real-time traffic surveillance data, collected from loop/radar
detectors (LDs), for proactive crash risk assessment. However, there is a lack of prior studies …
detectors (LDs), for proactive crash risk assessment. However, there is a lack of prior studies …
Comprehensive analysis of the relationship between real-time traffic surveillance data and rear-end crashes on freeways
Rear-end collisions are the single most frequent type of crash on freeways. Their impact on
freeway operation is also most noticeable because almost all of them occur during periods …
freeway operation is also most noticeable because almost all of them occur during periods …
Predicting reduced visibility related crashes on freeways using real-time traffic flow data
OBJECTIVES: The main objective of this paper is to investigate whether real-time traffic flow
data, collected from loop detectors and radar sensors on freeways, can be used to predict …
data, collected from loop detectors and radar sensors on freeways, can be used to predict …