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 …
Big data applications in real-time traffic operation and safety monitoring and improvement on urban expressways
Q Shi, M Abdel-Aty - Transportation Research Part C: Emerging …, 2015 - Elsevier
Abstract The advent of Big Data era has transformed the outlook of numerous fields in
science and engineering. The transportation arena also has great expectations of taking the …
science and engineering. The transportation arena also has great expectations of taking the …
Utilizing support vector machine in real-time crash risk evaluation
Real-time crash risk evaluation models will likely play a key role in Active Traffic
Management (ATM). Models have been developed to predict crash occurrence in order to …
Management (ATM). Models have been developed to predict crash occurrence in order to …
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 …
Approach-level real-time crash risk analysis for signalized intersections
Intersections are among the most dangerous roadway facilities due to the complex traffic
conflicting movements and frequent stop-and-go traffic. However, previous intersection …
conflicting movements and frequent stop-and-go traffic. However, previous intersection …
Assessment of freeway traffic parameters leading to lane-change related collisions
This study aims at 'predicting'the occurrence of lane-change related freeway crashes using
the traffic surveillance data collected from a pair of dual loop detectors. The approach …
the traffic surveillance data collected from a pair of dual loop detectors. The approach …
An optimal variable speed limits system to ameliorate traffic safety risk
Abstract Active Traffic Management (ATM) systems have been emerging in recent years in
the US and Europe. They provide control strategies to improve traffic flow and reduce …
the US and Europe. They provide control strategies to improve traffic flow and reduce …
Multivariate approach to peak-period models for crash types and severities in variable speed systems on freeways
According to current research, safety performance functions (SPFs) based on traditional
annual average daily traffic are less suitable for addressing crash risk in traffic-management …
annual average daily traffic are less suitable for addressing crash risk in traffic-management …
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 …