Utilizing support vector machine in real-time crash risk evaluation-Reference-Cited by-同舟云学术

Utilizing support vector machine in real-time crash risk evaluation

Published:2013-03 Issue: Volume:51 Page:252-259
ISSN:0001-4575
Container-title:Accident Analysis & Prevention
language:en
Short-container-title:Accident Analysis & Prevention

Author:

Yu Rongjie,Abdel-Aty Mohamed

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Safety, Risk, Reliability and Quality,Human Factors and Ergonomics

Reference38 articles.

1. Evaluation of variable speed limits for real-time freeway safety improvement;Abdel-Aty;Accident Analysis and Prevention,2006

2. Crash risk assessment using intelligent transportation systems data and real-time intervention strategies to improve safety on freeways;Abdel-Aty;Journal of Intelligent Transportation Systems,2007

3. Predicting freeway crashes from loop detector data by matched case–control logistic regression;Abdel-Aty;Transportation Research Record: Journal of the Transportation Research Board,2004

4. Ahmed, M., Abdel-Aty, M., Yu, R. Assessment of the interaction between crash occurrence, mountainous freeway geometry, real-time weather and AVI traffic data. Journal of Transportation Research Board, in press-a.

5. Ahmed, M., Abdel-Aty, M., Yu, R. A Bayesian updating approach for real-time safety evaluation using AVI data. Journal of Transportation Research Record, in press-b.

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