Using conditional inference forests to identify the factors affecting crash severity on arterial corridors
- 5 August 2009
- journal article
- Published by Elsevier BV in Journal of Safety Research
- Vol. 40 (4), 317-327
- https://doi.org/10.1016/j.jsr.2009.05.003
Abstract
No abstract availableKeywords
This publication has 27 references indexed in Scilit:
- Safety for whom? The effects of light trucks on traffic fatalitiesJournal of Health Economics, 2008
- Airbag-induced fatal subaxial cervical spinal cord injury in a low-velocity collisionEuropean Journal of Emergency Medicine, 2008
- Characteristics of Urban Arterial Crashes Relative to Proximity to Intersections and Injury SeverityTransportation Research Record: Journal of the Transportation Research Board, 2008
- Assessing Safety on Dutch Freeways with Data from Infrastructure-Based Intelligent Transportation SystemsTransportation Research Record: Journal of the Transportation Research Board, 2008
- A joint econometric analysis of seat belt use and crash-related injury severityAccident Analysis & Prevention, 2007
- Crash Estimation at Signalized Intersections Along Corridors: Analyzing Spatial Effect and Identifying Significant FactorsTransportation Research Record: Journal of the Transportation Research Board, 2006
- Exploring the overall and specific crash severity levels at signalized intersectionsAccident Analysis & Prevention, 2005
- The effect of population safety belt usage rates on motor vehicle-related fatalitiesAccident Analysis & Prevention, 2002
- Random ForestsMachine Learning, 2001
- Modeling traffic accident occurrence and involvementAccident Analysis & Prevention, 2000