Over the past several years, in a series of research projects, researchers at Portland State University (PSU) have been developing a new approach to estimate active transportation volumes using machine learning.

This emerging method, which can predict how many people will be biking or walking on any given road, trail or segment of a transportation network at any time, offers promising applications for transportation agencies and state departments of transportation (DOTs). These organizations can use accurate bicycle and pedestrian volume information to track changes over time, prioritize projects, plan and design new infrastructure, conduct safety analyses and estimate public health impacts.

"These methods are still evolving, and it's still in the research phase. But I think the time is not far off when we will start using these methods as more mainstream," said Sirisha Kothuri of the Maseeh College of Engineering and Computer Science, the lead researcher on this series of projects.

The method Kothuri and other researchers are developing is referred to as "data fusion" because it involves combining multiple data sources, including traditional permanent and short-term counting methods as well as newer crowdsourced data streams from entities like Strava and Streetlight.

HOW DOES IT WORK?

Traditional permanent and short-term counting methods can directly provide counts, but are limited to certain...

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In recent years, cities and counties all across the United States have invested in bicycle and pedestrian counters. Having reliable data on non-motorized traffic can help jurisdictions make informed decisions about infrastructure investments, measure the effectiveness of biking and walking initiatives, and improve safety. 

But having a bike-ped count program is just the beginning. 

Once counts have been collected, cities face new challenges. How can multiple agencies share data among themselves? How can data be standardized and compared? And what is the most effective way to communicate what the numbers mean?

Enter Bike-Ped Portal, the comprehensive non-motorized data management system for manual and automated non-vehicular multi-modal counts housed at Portland State University (PSU). This specialized data lake and management system is designed to make sharing data—within an agency, with partners at other agencies, and with the public—easily accessible. The newest feature we've added is a regional dashboard for the Portland, OR and Vancouver, WA metropolitan area.

DATA QUALITY

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Knowing how many people use walking and bicycling infrastructure is crucial for transportation planning. Active transportation projects can help cities and states achieve multiple climate- and public-health-related targets, and a new project launching in 2024 can help further those goals: California is getting a statewide active transportation count database.

With help from Portland State University (PSU) researcher Sirisha Kothuri, the Safe Transportation Research and Education Center (SafeTREC) at the University of California, Berkeley is leading an effort to create a centralized data repository for the state.

Kothuri, a senior research associate in civil and environmental engineering at PSU, has led multiple research projects aimed at improving the accuracy and scope of nonmotorized data collection efforts. She has experience with using data fusion techniques to estimate bicycle volumes, leveraging crowdsourced data to derive pedestrian counts, and working with this data to make walking and bicycling safer and more comfortable. Her expertise in this area, as well as PSU's experience centralizing transportation data via the university's PORTAL and BikePed Portal, will...

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In a big step forward for nonmotorized planning, a dashboard with bike data from the Washington, D.C. metro area is coming to BikePed Portal. Previously, a planner looking to see the latest biking numbers for the nation's capital would have to look at info from several jurisdictions, including Arlington County, the City of Alexandria, the District Department of Transportation, Fairfax County, Montgomery County, and the National Park Service, which manages counters on several trails and natural areas in the greater metro area.

Now, with funding from a National Park Service (NPS) Cooperative Ecosystem Studies Unit (CESU), a unique program that facilitates partnerships between federal and non-federal entities and research institutions, Virginia Tech and the University of North Carolina Highway Safety Research Center (HSRC) are teaming up with data specialists at Portland State University (PSU) to create a new dashboard that will allow users to see all the D.C. bike data together in one place.

Housed at PSU's Transportation Research and Education Center (TREC), BikePed Portal...

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In order to make sure bicyclists' needs are considered when improving a transportation system, planners and engineers need to know how many people are biking, and where. 

Traditional bicycle counters can provide data for limited sections of the bike network; often these counters are installed at important locations like trails or bridges. While limited in location, they count everyone who bikes by. Meanwhile, GPS & mobile data cover the entire transportation network, but that data only represents those travelers who are using smartphones or GPS. Combining the traditional location-based data sources with this new, crowdsourced data could offer better accuracy than any could provide alone. 

"Knowing how many people are bicycling on a street is really important for a number of reasons. As just a few examples, bicycle volumes give you a way to understand safety data and determine crash rates. They provide insight into where and how bicycle trips are taking place, which can help plan for new or improved facilities," said Nathan McNeil of Portland State University.

Supported by a pooled fund grant administered by the National Institute for Transportation and Communities (NITC), Dr. Sirisha Kothuri of Portland State University led a research project aimed at fusing traditional and...

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In 2014, NITC published a study on racial bias at crosswalks under a Small Starts grant. Read coverage of that project in the New York Times and Washington PostThe next phase of the research is now complete, with more comprehensive findings. 
 
Principal InvestigatorKimberly Kahn, Portland State University
Learn more about this research by viewing the two-page Project Brief, related presentations, and the full Final Report on the Project Overview page. Hear firsthand...
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Jolene Liu, a senior from Westview High School in Beaverton, completed a successful internship with TREC this year. The internship was funded by IBM through the Saturday Academy's Apprenticeships in Science and Engineering (ASE) program.

Liu worked under the tutelage of TREC researcher Krista Nordback for two months, stringing up an impressive list of accopmlishments over that time. She worked to help create the online non-motorized traffic count archive, a centralized database for bicycling and walking count data. Liu tested the database structure, summarized data formats and wrote help text for future users. She also processed manual counts of pedestrians and cyclists from intersections in Bend, Eugene, Portland and throughout Oregon.

For an IBPI professional development course, Liu also calibrated pedestrian counting equipment and demonstrated the equipment for course participants.

Perhaps most impressively, Liu co-authored a paper accepted for presentation at the annual meeting of the Transportation Research Board this coming January: "Creating a National Non-motorized Traffic Count Archive: Process and Progress," Paper 15-5310.

"She was amazing," Nordback said. "She took on tasks most undergrads wouldn't have been able to handle, plus she took amazing notes at our (Technical Advisory Committee) meeting in Salem.

"She got to watch...

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When it comes to transportation investments, states have a good measure of automobile traffic to inform decisions: vehicle miles traveled. Bicycling and walking don't have a similar measure, leaving more guesswork in planning for those modes.

OTREC research associate Krista Nordback is helping to fix that disparity for Washington state. Working with graduate assistant Michael Sellinger, Nordback has published a research report presenting methods to estimate cycling and walking in the state.

The research is part of a larger effort, which includes Nordback's NITC research project, to create and apply pedestrian-miles-traveled and bicycle-miles-traveled -- PMT and BMT, resepectively -- measures at the state level. In the report, Nordback recommends improvements to Washington's Bicycle and Pedestrian Documentation Project and outlines how PMT and BMT could be estimated.

Washington already leads the nation in its nonmotorized count program, collecting bike and pedestrian counts in more than 30 cities across the state. The statewide focus of Nordback's project sets it apart from similar studies limited to the local or regional level.

The report identifies key needs for programs such as Washington's, including more counts in rural areas and the need to combine short-duration counts with permanent counters. It also found that...

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The Initiative for Bicycle and Pedestrian Innovation hosted its first Webinar Feb. 27, with OTREC researcher Krista Nordback providing an overview of bicycle and pedestrian count programs for the 250-plus registered participants.

The Webinar marks an expansion of IBPI’s professional development offerings, which now also include a sustainable transportation study-abroad program and a wider selection of workshops geared toward transportation professionals and university instructors. Webinar participants were eligible to receive continuing education credits, new this year for IBPI live Webinars and in-person workshops.

While the title of the Webinar, “We are Traffic: Creating Robust Bicycle and Pedestrian Count Programs,” asserts a place for walking and bicycling in traffic discussions, Nordback began with a question: If we really believe that bicycling and walking are modes of traffic, how is that going to change how we measure those modes?

Nordback outlined the Federal Highway Administration’s Traffic Monitoring Guide, published last year. She covered why counting and understanding bicycle and pedestrian...

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OTREC researcher Miguel Figliozzi details some of the work on an Oregon Department of Transportation project, "Design and Implementation of Pedestrian and Bicycle Specific Data Collection Methods in Oregon," in this video produced by the Federal Highway Administration.

The project reviewed collection methods such as tube counters and loop detectors for accuracy and looked at using count numbers to deterimine average annual pedestrian and bicycle traffic at intersections.

Figliozzi was lead researcher on the project, with Christopher Monsere. Both are associate professors of civil and environmental engineering at Portland State University.

OTREC's Krista Nordback was also involved in the project, as were graduate students Pamela Johnson and Bryan Blanc. More information on the project is at:

http://www.oregon.gov/ODOT/TD/TP_RES/pages/activeprojects.aspx#SPR_754

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