Oregon State University

Mitigation of Lane Departure Crashes in the Pacific Northwest through Coordinated Outreach – year 3 (2014-2015)


PI: David Hurwitz (OSU)
Co-PI: Linda Boyle (UW), Leila Hajibabai (WSU), Billy Connor (UAF), Ahmed Abdel-Rahim (UI)
Dates: 01/15/2015 – 06/15/2016
Led by: Oregon State University (OSU) Professor David S. Hurwitz, this project is the PacTrans Multi-Institution Outreach Project for 2015-2016.

Approximately 60 percent of fatalities on our nation’s roadways are the result of lane departure crashes. In some cases, the vehicle crossed the centerline and was involved in a head-on crash or opposite direction sideswipe. In others, the vehicle left the roadway to roll over or impact one or more natural or man-made objects, such as trees, utility poles, bridge walls, embankments, or guardrails. A variety of transportation engineering solutions have been proposed to mitigate the occurrence of lane departure crashes including but not limited to: the safety edge, nighttime visibility, rumble strips, retroreflectivity, and pavement lane markings. While these strategies have shown varying degrees of promise in particular contexts, they do no immediately address all of the causal factors inherent in road users (motor vehicle and all-terrain vehicle operators) such as fatigue, operating under the influence, distraction driving, etc. Read More

Cost-Effective Bridge Safety Inspections Using Unmanned Aerial Vehicles (UAVs) – year 3 (2015-16)


PI: Dan Gillins (OSU)
Co-Investigators: Chris Parrish (OSU)
Dates: 01/15/2015 – 06/15/2016

The objective of this research is to evaluate how well UAV technology can be used to perform visual bridge inspections. Since the FHWA requires biennial bridge inspections, evaluating this exciting and emerging technology will provide helpful information to every region in the United States. To accomplish this objective, necessary goals are to: 1) investigate existing UAV technology, including available platforms, sensors, flight controllers, and mission planning tools; 2) review FHWA requirements for performing bridge inspections per 23 CFR Part 650; 3), acquire UAV-based imagery and video for 1-3 representative bridges; Read More

Fault Tree Analysis for Accident Prevention in Transportation Infrastructure Projects – year 3 (2014-2015)


PI: Hyun Woo Lee (OSU)
Co-Investigators: Ingrid Arocho (OSU)
Dates: 01/15/2015 – 06/15/2016

The study will combine literature review and content analysis to develop a list of risk factors that lead to contribute to major accident types in transportation infrastructure projects. OSHA’s Fatality and Catastrophe Investigation Summaries will be the main source of data for the content analysis. OSHA requires construction companies to report any type of work-related accidents resulting in the hospitalization of three or more workers. Thus, this summary database contains valuable information regarding safety-related performance, which can be used as a basis for identification of accident types and risk factors.  Read More

3D Virtual Sight Distance Analysis Using Mobile LIDAR Data – year 3 (2014-2015)


PI: Michael Olsen (OSU)
Co-Investigators: David Hurwitz (OSU), Alireza Kashani (OSU)
Dates: 01/15/2015 – 06/15/2016

This research explores the feasibility, benefits and challenges of a safety analysis for sight distances based on DOT Mobile Laser Scanning (MLS) data. This research will also develop a systematic MLS data analysis framework to evaluate sight distances in different practical scenarios. The use of high density MLS data for sight distance analysis provides a data driven solution to aid decision making for safe transportation, directly aligning with the PacTrans FY2014-2015 theme. Further, it fits directly within Topic Area #3 Technological Impacts on Safety. Read More

Development of Low-Cost Wireless Sensors for Real-Time Lifeline Condition Assessment – year 3 (2014-2015)


PI: Daniel Borello (OSU)
Dates: 01/15/2015 – 06/15/2016

This research proposes to develop a low-cost wireless sensor to assess the condition of the lifeline bridges following a natural hazard. The primary goal of the sensor will be to minimize cost and increase the ease of installation. Off-the-shelf hardware will be adopted to meet the design criteria, emphasizing multiple year autonomous operation. The sensors will be configured to measure individual member demands, calculated locally at the node, eliminating the challenge of time-synchronization. Structural models will be developed to predict the loss of the structure based on these measurements. The sensors will be paired with a wide-area network, allowing real-time analysis of the entire transportation system following an event. Therefore, this project will deliver a low-cost sensor that can be widely deployed throughout the Pacific Northwest transportation network to provide first responders with an overview of the current state, and route appropriately. Read More

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