OTREC turned its education efforts on a decidedly younger crowd March 13: sixth graders. A class from Rochester, N.Y., visited Portland on a trip geared toward improving bicycling in their own community.

The students, from Genesee Community Charter School, visited the OTREC offices to learn about active transportation research methods. They took part in group exercises designed to get them thinking about the planning and engineering challenges of transportation systems set up to serve multiple transportation modes.

The highlight of the day came when the students took to Portland’s streets — OTREC’s living laboratory — to conduct research of their own. Armed with bicycle-counter tubes and infrared detectors, students counted cyclists and pedestrians passing on the Broadway cycle track on Portland State University’s campus.

Other students verified the technology with manual counters.

Students moved on to their next stop on a four-day tour of Portland with a better sense of what kind of data researchers collect and how they can use those data to inform policy. Given their experience — the students already have influenced their city on policy ranging from Erie Canal re-watering to an urban art corridor to skate parks — they stand a good chance of using Portland’s lessons to build a bike-friendly Rochester.

This fall, the Friday transportation seminar series at Portland State University has focused on data collection and how information is used to make transportation investments. The Oct. 26 seminar, with the University of Minnesota’s Greg Lindsey, covered tracking and modeling travel behavior.

Engineers and planners alike have relied on traffic counts for their traffic models, but data behind bike and pedestrian travel has been fuzzy. Now, researchers such as Lindsey are offering new methods for conducting bike and pedestrian counts on trails and multiuse paths.

With little guidance from the Federal Highway Administration, Lindsey said, most of the efforts in creating best practices have bubbled up from communities like the Twin Cities, chosen as Nonmotorized Transportation Pilot Cities. Lindsey and his researchers monitored six trails in Minneapolis, using inductive loops and infrared beams.

To address calibration problems and offer validity to their field numbers, Lindsey also sent students into the field to verify counts. The technology allowed for finer-grained detail, especially over a 24-hour period. OTREC Director Jennifer Dill noted, “Too much in the past we’ve lumped “bike and peds” together and your work and analysis is demonstrating that they truly are different modes, with different behaviors.”

Lindsey stressed the importance of conducting this type of research, and measuring our “bicycle miles traveled” and “pedestrian miles traveled” in...

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If you weren’t one of the 10,000 people who attended the Transportation Research Board’s Annual Meeting in January, there are fifty students and twenty faculty for PSU, UO, OSU and OIT who can tell you what they learned there.  OTREC's bright yellow lanyards made our presence especially visible! PSU student Brian Davis blogged about his experience, OTREC’s Jon Makler was interviewed in a local newspaper, and the Oregon “delegation” at the conference was covered by both local and national blogs. Team OTREC filed some daily debriefs, highlighting presentations on topics such as federal stimulus investments in Los Angeles and Vermont’s efforts to address their transportation workforce crisis with returning military veterans (as well as the...

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Big data and the future of travel modeling

 

New technologies such as smart phones and web applications constantly collect data on individuals' trip-making and travel patterns. Efforts at using these "Big data" products, to date, have focused on using them to expand or inform traditional travel demand modeling frameworks; however, it is worth considering if a new framework built to maximize the strengths of big data would be more useful to policy makers and planners.

In this presentation Greg Macfarlane will present a...

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Webinar: Visual Exploration of Trajectory Data
 

PRESENTATION ARCHIVE

OVERVIEW

This webinar will demonstrate the tremendous value of GPS trajectory data in understanding statewide travel patterns and measuring performance. First, Dr. Markovic (U of Utah) will conduct visual exploration of GPS trajectories that capture about 3% of all the trips in Utah. He will briefly discuss the problem of scaling GPS trajectories to the population, and then focus on the use of scaled trajectories in computing origin-destination matrices, vehicle-hours delays, vehicle-miles traveled, and trip-based performance measures. Second, Dr. Franz (CATT Lab) will demonstrate a suite of visual analytics that enables transportation agencies to easily explore terabytes of GPS trajectory data. He will demonstrate different tools and share the experience of 5 state DOTs that are currently using CATT Lab's trajectory data suite.

KEY LEARNING OUTCOMES

  • Trajectory data represents the most complete vehicle-probe data and provides unprecedented opportunity for transportation system analysis.
  • Transportation agencies can easily leverage visual analytics to obtain insights in statewide traffic patterns and...
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Transportation and Road Weather

Where: Room 204 of the Distance Learning Center Wing of the Urban Center at PSU
Speaker: Rhonda Young, University of Wyoming
Topic: Transportation and Road Weather

Summary: Weather has a tremendous impact on the transportation system and is one of the largest contributors to non-recurring delay and increased crashes.  Road weather is the a multidisciplinary area involving transportation engineers and meteorologists who are working to mitigate the negative effects of weather on the operation and maintenance practices of transportation systems.  The talk covers the broad types of issues being studied in this field and looks at ways in which technology is playing a large part in the proposed solutions.  The issue of weather as a complicating factor in the use of connected and autonomous vehicle technologies  is also discussed.

Bio: Rhonda Young is an associate professor in the Department of Civil and Architectural Engineering at the University of Wyoming since 2002 and teaches graduate and undergraduate classes in Traffic Operations, Transportation Planning, Transportation Design and Traffic Safety.  She completed her master and PhD degrees in Civil Engineering at the University of Washington and...

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Abstract: TriMet has used a computer aided dispatch (CAD)/automatic vehicle location (AVL) system to manage bus and rail operations since the late 1990s. TriMet is currently in the process of updating the CAD/AVL system, and anticipates improvements in bus tracking and performance monitoring. This presentation will show how TriMet uses data from the system to support intelligent transportation systems (ITS) such as TransitTracker and automatic stop announcements in buses and trains, as well as to analyze transit operations such as on time performance and passenger loads.

Speaker Bios: Steve Callas is the Manager of Service and Performance Analysis at TriMet in Portland Oregon, where he is responsible for operations performance monitoring and analysis. This includes analyzing TriMet’s comprehensive automatic vehicle location and automatic passenger counter data archive. Additionally, Steve is involved in various transit operations research projection in conjunction with Portland State University and OTREC. Steve has been with TriMet for over 15 years.

David is an operations analyst with TriMet. He is involved in AVL data mining and analysis, safety analysis, automatic stop announcements, transit signal priority, and real-time...

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PORTAL: Lessons from Developing an Archived Data User Service in Portland, Oregon

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Summary: Researchers from the transportation, planning and health fields share the common goal of promoting physically active lifestyle. One challenge that researchers often face is the measurement of physical activity, particularly among children. This is because the sporadic nature of children’s physical activity patterns makes it difficult to recall and quantify such activities. Additionally, children’s lower cognitive functioning compared to adults prevents them from accurately recalling their activities. This presentation will describe the design and application of a novel self-report instrument - the Graphs for Recalling Activity Time (GReAT) - for measuring children’s activity time use patterns. The instrument was applied in a study of children’s risk for obesity and diabetes in a predominately Hispanic community in Milwaukee, WI. Time-use data for two weekdays and one weekend day were collected for various physical and sedentary activities. The data was then assessed against measurements of the children’s cardiovascular fitness, weight status and insulin resistance through exploratory analysis and structured equation modeling. Findings on GReAT’s reliability and new evidence on the impacts of time-use in different activities on children’s risk for...

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