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Examining Driver Risk Factors in Road Departure Conflicts Using SHRP2 Data

Alshatti, Danah Ahmed
http://rave.ohiolink.edu/etdc/view?acc_num=dayton152534759506242

Abstract Details

2018, Master of Science (M.S.), University of Dayton, Civil Engineering.
When a vehicle leaves the roadway, the likelihood of a roadway departure (RwD) crash can be deadly. Roadway departure conflicts usually involve a single vehicle, which occurs after a vehicle crosses an edge line, a centerline, or otherwise leaves the designated traveled way and collide with another vehicle or with a fixed object or overturns, etc. This study investigates the nature of the interrelations between roadway, vehicle, and driver (characteristics and behavior) risk factors in roadway departure conflicts. The purpose of this thesis study was to examine which factors increase the risk of roadway departure conflict and increase the likelihood becoming a roadway departure crash, using the Second Strategic Highway Research program (SHRP2) data. SHRP2 include Naturalistic Driving Study (NDS) and Roadway Information Database (RID), which were collected from six different states in 2010-2012. Stepwise logistic and generalized linear regression models were estimated to provide insights as to those factors that have association with roadway departure conflicts and more importantly to those that are more likely to lead the conflict into crashes. The results revealed that drivers pre-incident maneuvers, judgment maneuvers, secondary tasks (distracted drivers), road alignment (curves) were significant factors. Driver education, average mileage driven per years were also significant factors. However, driver gender and age were non-significant risk factor of roadway departure conflicts in the current study.
Deogratias Eustace, Ph.D., P.E., PTOE (Advisor)
69 p.
Civil Engineering
SHRP2; Roadway Departure Conflicts; Risk Factor; Driver Behavior; RID; NDS

Recommended Citations

Citations

  • Alshatti, D. A. (2018). Examining Driver Risk Factors in Road Departure Conflicts Using SHRP2 Data [Master's thesis, University of Dayton]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=dayton152534759506242

    APA Style (7th edition)

  • Alshatti, Danah. Examining Driver Risk Factors in Road Departure Conflicts Using SHRP2 Data. 2018. University of Dayton, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=dayton152534759506242.

    MLA Style (8th edition)

  • Alshatti, Danah. "Examining Driver Risk Factors in Road Departure Conflicts Using SHRP2 Data." Master's thesis, University of Dayton, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=dayton152534759506242

    Chicago Manual of Style (17th edition)

dayton152534759506242
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© 2018, all rights reserved.
This open access ETD is published by University of Dayton and OhioLINK.