University of Washington

Michael Scott (OSU) Original research developed simplified analytical models for estimating the horizontal force imparted on bridge superstructures due to hydrodynamic loading. The technology transfer and outreach activity hosted a half-day workshop and to record a brief webinar (approximately 30 minutes) on the use of OpenSees for computing the horizontal load imparted on bridge structures by tsunami loads. The workshop focused on the simplified mass- spring-damper models examined in the original PacTrans project as well as the application of simplified loading functions, e.g., those based on a uniform vertical distribution of momentum flux, on more complex finite element bridge models. The workshop was recorded for later use while the brief webinar sought to highlight the basic use of OpenSees for simulating the effects of hydrodynamic loading on bridges. Yinhai Wang (UW) Safety Net is a part of the Digital Roadway Interactive Visualization and Evaluation Network (DRIVE Net), which is a region-wide, web-based transportation decision support system that adopts digital roadway maps as the base, and provides data layers for integrating and analyzing a variety of data sources. The capabilities of the DRIVE Net system have recently been expanded to include safety modeling, hotspot identification, and incident induced delay estimation. The proposed transportation safety performance analysis platform is promising to be adopted and utilized by traffic management agencies to improve safety in the Seattle area. The methodologies and technologies utilized by the proposed platform can be transferred to safety related public agencies or private companies. Outreach activities, like DRIVE Net tutorial workshops or webinars, will be carried out with the success story funding. Haizhong Wang (OSU) Dr. Wang has completed several PacTrans research projects dealing with bicycle safety, risks, and accidents. With success story funds, he has facilitated a series of interactive workshops with local engineers and communities to educate the public about new tools that he has developed in these PacTrans research projects, as well as presenting these new techniques at two important conferences around the world. Yinhai Wang (UW) The novel multisource traffic sensor, named Mobile Unit for Sensing Traffic (MUST) has been under development in Dr. Wang's lab for several years . The cost of MUST 2 is only $200 dollars which is significantly lower than the cost of other similar products in the market. The main function of MUST 2 is catching the Media Access Control (MAC) address of the mobile devices in the surrounding area of the sensor. Success story funds have been utilized to increase visibility of the MUST 2 to the market. This includes the development of a film and web-based materials for the demonstration of the basic functions and the potential application scenarios of MUST 2. Funds have also been leveraged to present this technology to potential customers, such as, the DOTs, transit agencies, transportation consulting companies, and many others at academic and business conferences. Kevin Chang (UI) Recent advancements in data collection capabilities have allowed transportation-related agencies to collect mountains of safety data. There was an immediate need to find out what types of safety data are being collected, what types of safety analysis can be done with the collected data, and what (other) types of safety data and analysis approaches are required to meet the safety objectives. A recently funded PacTrans project responded to the current gaps in research and identified a methodology that benefitted all system users. Success story funds have been utilized to assist in the integration of these findings into a new Road Safety Professional (RSP) certification program being developed by the Institute of Transportation Engineers (ITE). Yinhai Wang (UW) Dr. Wang has recently completed work developing a cost-effective system to automatically extract vehicle-pedestrian near-misses from onboard monocular cameras. In the development of this system, several challenging issues in near-miss detection including the moving video background issue, depth estimation, and real-world motion information extraction only using monocular video were addressed. The current system was developed to run on a desktop computer. Dr. Wang's team used success story funds to modify the current system to a real-time onboard near-miss detection system, taking real-time video inputs and generate warnings to drivers when any conflict is detected. This technology transfer requires some modification of the algorithms since onboard computers are generally less powerful in terms of computational power. Anne Goodchild (UW) The Urban Freight Lab (UFtLab) recently developed a GIS-mapping protocol used to locate and determine truck-relevant features of all the private loading bays and loading docks in Seattle's Center City in 2017 as part of a PacTrans funded project. Her lab then created the IT structure of the first edition of the Final 50 Feet: Urban Goods Delivery System Online Tool Kit, which enables transportation professionals to efficiently and effectively replicate these data collection processes and analyses in the future. Dr. Goodchild is now utilizing success story funding to add two new 'how to' tools to the online Final 50 Feet: Urban Goods Delivery System Tool Kit: (1) Alleys: GIS Mapping & Truck Feature Documentation, and (2) Conducting Alley Truck Occupancy Studies. Joe Wartman (UW) Rockfall is a chronic slope hazard along transportation corridors in mountainous areas of North America, where tens of millions of dollars are spent annually on rock slope maintenance and mitigation. Addressing this concern, a collaborative PacTrans research team recently developed the Rockfall Activity Index (or "RAI"). The RAI is a (lidar) point cloud-derived, high-resolution, morphology-based method for assessing rockfall hazards. Over the past year, the State Departments of Transportation (DOT) in the Pacific Northwest and across the nation, have expressed significant interest in adopting the RAI system in their respective regions. However, in its current form, the current software environment is burdensome and not appropriate for use by non-experts. Success story funds are being used to support a transition of the current prototype RAI processing software into a robust, user-friendly software application for use by DOTs and their consultants. 26 Pacific Northwest Transportation Consortium

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