Impact of real-time traffic characteristics on freeway crash occurrence: Systematic review and meta-analysis
- 1 June 2015
- journal article
- research article
- Published by Elsevier in Accident Analysis & Prevention
- Vol. 79, 198-211
Abstract
No abstract availableKeywords
This publication has 34 references indexed in Scilit:
- ATMS Implementation System for Identifying Traffic Conditions Leading to Potential CrashesIEEE Transactions on Intelligent Transportation Systems, 2006
- Real-Time Detection of Crash-Prone Conditions at Freeway High-Crash LocationsTransportation Research Record: Journal of the Transportation Research Board, 2006
- Potential Real-Time Indicators of Sideswipe Crashes on FreewaysTransportation Research Record: Journal of the Transportation Research Board, 2006
- Comprehensive Analysis of the Relationship Between Real-Time Traffic Surveillance Data and Rear-End Crashes on FreewaysTransportation Research Record: Journal of the Transportation Research Board, 2006
- Identifying crash propensity using specific traffic speed conditionsJournal of Safety Research, 2005
- Can We Trust the Results of Meta-Analyses?: A Systematic Approach to Sensitivity Analysis in Meta-AnalysesTransportation Research Record: Journal of the Transportation Research Board, 2005
- Split Models for Predicting Multivehicle Crashes During High-Speed and Low-Speed Operating Conditions on FreewaysTransportation Research Record: Journal of the Transportation Research Board, 2005
- Predicting Freeway Crashes from Loop Detector Data by Matched Case-Control Logistic RegressionTransportation Research Record: Journal of the Transportation Research Board, 2004
- Analysis of Crash Precursors on Instrumented FreewaysTransportation Research Record: Journal of the Transportation Research Board, 2002
- Benchmark evaluation of the IBM SP2 for parallel signal processingIEEE Transactions on Parallel and Distributed Systems, 1996