Run-Off-Road Crashes
Run-Off-Road Crashes

Author: Cejun Liu

Publisher: Createspace Independent Pub

Published: 2011-07-31

Total Pages: 36

ISBN-13: 9781493527120

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Run-off-road (ROR) crashes, which usually involve only a single vehicle, contribute to a large portion of fatalities and serious injuries to motor vehicle occupants. In this study, the National Motor Vehicle Crash Causation Survey (NMVCCS) data collected at crash scenes between 2005 and 2007 is used to identify the ROR critical pre-crash event, assess the critical reason for the ROR critical event, and examine associated factors present in the pre-crash phase of the ROR crash. The effect of antilock brake system (ABS) and electronic stability control (ESC) on ROR crashes is also evaluated.

Factors Related to Fatal Single-Vehicle Run-Off-Road Crashes
Factors Related to Fatal Single-Vehicle Run-Off-Road Crashes

Author: National Highway Traffic Safety Administration

Publisher: Createspace Independent Pub

Published: 2013-09-27

Total Pages: 30

ISBN-13: 9781492782766

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Run-Off-Road crashes cause a large proportion of fatalities and serious injuries to the vehicle occupants. In this study, fatal crashes from the Fatality Analysis Reporting System for passenger vehicles (passenger cars and LTVs) during the period 1991 to 2007 wre used to identify the roadway- (e.g., rural/urban nature and curve existence), driver- (e.g., age, gender, drowsy, and alcohol use), environmental- (e.g., weather, lighting condition), and vehicle-related factors (e.g., speeding) associated with the fatal single vehicle run-off-road crashes.

Identification of Vehicular Impact Conditions Associated with Serious Ran-off-road Crashes
Identification of Vehicular Impact Conditions Associated with Serious Ran-off-road Crashes

Author: King K. Mak

Publisher: Transportation Research Board

Published: 2010

Total Pages: 79

ISBN-13: 030915507X

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TRB's National Cooperative Highway Research Program (NCHRP) Report 665: Identification of Vehicular Impact Conditions Associated with Serious Ran-off-Road Crashes quantifies the characteristics of ran-off-road crashes and identifies appropriate impact conditions for use in full-scale crash testing.

Analysis of Run-off-the-road Crashes Involving Overcorrection
Analysis of Run-off-the-road Crashes Involving Overcorrection

Author: Abhishek Mishra

Publisher:

Published: 2006

Total Pages:

ISBN-13:

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ABSTRACT: Overcorrection crashes have long been a concern in crash analysis because the outcomes vary from the vehicle coming to rest after a rollover, to the vehicle passing through the opposite lanes either hitting or without hitting an oncoming vehicle, to rear end and sideswipe impacts. These crashes occur when a vehicle begins drifting off the road one way and the driver oversteers in the opposite direction resulting in a vehicle- vehicle, fixed object, or overturning crash. While analyzing fatal crash data from the year 2000 in the state of Florida, it was found that these crashes represented around 25 % of the total number of run-off-the-road (ROR) crashes. With that intention, this research developed models to identify the factors that influence ROR crashes involving overcorrection.

Characteristics of Drivers who Cause Run-off-road-crashes on Ohio Roadways
Characteristics of Drivers who Cause Run-off-road-crashes on Ohio Roadways

Author: Abdullah Faleh Alruwaished

Publisher:

Published: 2014

Total Pages: 70

ISBN-13:

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A vehicle that leaves its travel lane at a non-intersection location and collides with another vehicle or with a fixed object or overturns is considered to be involved in a run-off-road (ROR) crash. ROR crashes also known as roadway departure crashes, and these include head-on crashes, crashes that occur due to lane shifts, and crashes where the vehicle leaves its designated travel lane. The main objective of this study was to identify the significant factors that lead to these types of crashes. Crash data used in this study were obtained from the Ohio Department of Public Safety for a five-year period from 2008 to 2012. The classification tree modeling was used in this study to investigate the significant predictor variables of crash severity of ROR crashes. In addition, this thesis study developed two models, the ROR crashes model and the non-run-off-road (NROR) crashes model. The NROR crashes model used crash data for drivers who were at fault when their crash incidents occurred and for ROR crashes; it was assumed that all drivers in this category were at fault of causing the crashes. The ROR model identified nine variables, which include road condition, collision type, alcohol related, posted speed limit, speed related, crash type, vehicle type, gender, and age. The NROR crashes model has six significant predictor variables including collision type, posted speed limit, speed related, road condition, alcohol related, and vehicle type.