Title
The Viability Of Real-Time Prediction And Prevention Of Traffic Accidents
Keywords
Accident prediction; Micro simulation; Ramp metering; Real-time safety risk; Variable speed limit
Abstract
This paper addresses a novel idea of real-time traffic safety improvement on freeways. First by predicting traffic crashes on the freeway mainline using on-line loop detector data, then by proposing ITS remediation strategies to reduce the crash risk in real-time. The results of the predictive models were found to be consistent with the probable mechanisms of crashes under different flow regimes. Using micro-simulation software and the crash potential determined through the models developed in this research to associate traffic characteristics with the risk of a crash occurring, several mitigation strategies were attempted to improve safety in real-time. The before (pre-ITS) and after case were then compared to examine the effects of the crash mitigation methods. The results show that Variable Speed Limits and Ramp metering have positive effects on lowering the crash potential. © 2008 Taylor & Francis Group, London.
Publication Date
12-1-2008
Publication Title
Efficient Transportation and Pavement Systems: Characterization, Mechanisms, Simulation, and Modeling - Proceedings of the 4th International Gulf Conference on Roads
Number of Pages
215-226
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
79952307453 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/79952307453
STARS Citation
Abdel-Aty, Mohamed and Pande, Anurag, "The Viability Of Real-Time Prediction And Prevention Of Traffic Accidents" (2008). Scopus Export 2000s. 9542.
https://stars.library.ucf.edu/scopus2000/9542