Enhancing Safe Traffic Operations Using Connected Vehicles Data and Technologies – year 4 (2015-2016)

PI: Zhibin Li (UW)
Dates: 06/16/2015 – 06/15/2016

The ultimate goal of the proposed research is to use connected vehicles (CVs) data and technologies to improve traffic safety on mixed-use roadway networks (e.g., freeways and intersections). This goal is relevant to all three themes of PacTrans, namely Technological Impacts on Safety, safe travel on mixed-use roads, and Performance Evaluation of Safety Projects.

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An Examination of the Impact of Increasing Commercial Parking Utilization on Cyclist Safety in Urban Environments – year 4 (2015-2016)

PI: David S. Hurwitz(OSU)
Dates: 06/2015 – 06/2016

The overarching goal of this project is to improve both cyclist safety and commercial parking utilization in urban environments. To support this goal, this project will test the impacts of different striping, signage, and infrastructure on cyclist behavior around commercial vehicle (truck) loading zones and will determine the implications for cyclist safety.

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Safety Data Management and Analysis: Addressing the Continuing Education Needs for the Pacific Northwest – year 3 (2014-2015)

PI: Kevin Chang (UI)
Co-Investigators: Cynthia Chen (UW), Robert Perkins (UAF), Ali Hajbabaie (WSU), Shane Brown (OSU)
Dates: 01/15/2015 – 06/15/2016
Led by: University of Idaho (UI) Professor Kevin Chang, this project is the PacTrans Multi-Institution Education Project for 2015-2016.

Safety data collection, management, integration, improvement, and analysis activities are integral to developing a robust data program that leads to more Informed Decision making, better targeted safety investments, and overall improved safety outcomes. Safety data includes crash, roadway, traffic, licensing, and vehicle data. With the increased complexity of the safety data management and analysis activities, and with the limited resources most transportation agencies have, there is a critical need to provide the transportation workforce in the Pacific Northwest with the resources needed to effectively manage and analyze safety data. Read More

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

Regional Map Based Analytical Platform for State-Wide Highway Safety Performance Assessment – year 3 (2014-2015)

PI: Ali Hajbabaie (WSU)
Co-Investigators: Yinhai Wang (UW)
Dates: 01/15/2015 – 06/15/2016

Most traffic crash modeling and safety performance analysis cannot capture impacts of dynamic factors that are often critical for understanding the occurrence mechanism of crashes and are very labor intensive.To address these deficiencies, this proposed research takes advantage of the ongoing DRIVE Net research at the University of Washington to build large-scale safety analysis functions on the data-rich eScience transportation platform. The proposed research has the following objectives: Improve current crash modeling methods; Develop a Safety Performance Index (SPI); Monitor the safety performance of the state highway network on regional map using SPI; Develop a Potential Safety Improvement Index (PSII); Develop safety improvement analysis methods for accident hotspots based on the overlapped SPI and PSII. Read More

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