Three people stand waiting for a train
Sep 11, 2019
Photo by santypan

Amy Lubitow and Julius McGee, Portland State University;  Raoul Liévanos, University of Oregon


What is the quality of travel data for underrepresented, marginalized populations? The issues go deeper than creating slicker algorithms: In a world with...

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A screenshot from the STAT tool shows a map with embedded Tweets by location
Jul 10, 2019
Xiaoyue (Cathy) Liu, University of Utah; Ran Wei, University of California, Riverside; Aaron Golub and Liming Wang, Portland State University

With today's profusion of open data sources and real-time feeds, transit agencies have an unparalleled opportunity to leverage large amounts of data to improve transit service. Thanks to NITC researchers,...

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Webinar: Modeling Freeway Traffic in a Mixed Environment: Connected and Human-Driven Vehicles - Terry Yang
Nov 29, 2018

 

PRESENTATION ARCHIVE

Miss the webinar or want a look back?

OVERVIEW

Although connected vehicles (CVs) will soon go beyond testbeds, CVs and human-driven vehicles (HVs) will co-exist over a long period. Hence, it is critical to consider the interactions between these two types of vehicles in traffic flow modeling. In this study, we aim to develop a macroscopic model to understand how CVs would impact HVs in the traffic stream. Grounded on the second-order traffic flow model, we study the relationships among flow, density, and speed by two sets of formulations for the groups of CVs and HVs, respectively. A set of friction factors, which indicate CVs' impact to HVs, are introduced to the speed equation for accounting CV speed impacts. Then extended Kalman Filter is employed to update both model parameters and friction factors in real-time. By using CVs trajectory data as measurements, the difference between CV average speed and overall traffic mean speed will be fully accounted. The proposed model will serve as a basis for designing CV-based traffic...

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Automatic bicycle counter showing how many cyclists have passed today, and this year.
Nov 01, 2018
Principal Investigator:  Sirisha Kothuri, Portland State University
Learn more about this research by reading about the Pooled Fund research grant that started it, or the Project Overview page.

BIKE/PED COUNT SURVEY: CALL FOR INPUT

Researchers at Portland State University, University of Texas at Arlington, University of North Carolina at Chapel Hill and Toole Design Group are conducting a scan to identify locations where bicycle counts are taking place around North America, and hope to enlist your help! If you collect bike count data (or oversee counts) in your jurisdiction, please consider taking our quick survey to tell us a little bit about your count locations and data.

The survey can be accessed here: tinyurl.com/BikeCounterScan

THE NEW PROJECT...

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Left: Bicycles on a trail; Right: Young woman buying transit pass
Aug 23, 2018

The National Institute for Transportation and Communities (NITC) is soliciting proposals for our two 2018 Pooled Fund projects:

RFP now open; proposals due Oct 1, 2018

This project will address the need of cities and municipalities to combine bicycle data from different sources (such as manual counts, automatic counts, and crowd-sourced data from apps such as Strava) to assess an accurate accounting of bicycle traffic on a network. Current work on data fusion techniques is limited and additional research is needed to fully understand the choice of weighting techniques, inclusion of spatial vs. temporal variation in the weighting scheme and exploring other...

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People looking at laptops
Aug 23, 2018
Principal Investigator: Liming Wang, Portland State University
Learn more about this curriculum and how you can apply it at your school by viewing the one-page Executive Summary and the full Final Report on the Project Overview page.

This course is being offered again April 3–10, 2019. Learn more and register here.


"Scientific Computing for Planners, Engineers, and Scientists," our data science course for transportation professionals, has completed its second year and continues to help planners and engineers improve their data processing workflows.

Taking an ocean of numbers and converting it into compelling infographics, charts and narratives that communicate results is a key part of the transportation profession, and a daunting challenge. That's why we created this week-long data science course. It's also why we're offering a one-day workshop that focuses specifically on transportation...

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May 10, 2018

WATCH THE RECORDED VIDEO

 
PRESENTATION SLIDES

Miss the presentation or want a look back? You can view the presentation slides here.

OVERVIEW

Every day transit riders ask the same question: when’s the next one coming? To answer this question, transit agencies are transitioning to providing real-time transit information through smartphones or displayed at transit stops. 

The proliferation of transit planning and real time arrival tools that have hit the market over the past decade is staggering. Yet with transit ridership on the decline, agencies can’t afford to ignore the importance of providing accurate, real time information to their customers. Real-time transit information improves the reliability and efficiency of passenger travel, but barriers have prevented some transit agencies from adopting the GTFSrealtime v1.0 technology. A new NITC-funded study in May led by Sean Barbeau of the...

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Transit Data
May 10, 2018
Principal Investigator: Sean Barbeau, University of South Florida
Learn more about this research by viewing the Executive Summary, related presentations, and the full Final Report on the Project Overview page. Hear firsthand from the principal investigator by tuning in for a webinar on August 9, 2018 (recording made available).

Every day transit riders ask the same question: when’s the next one coming? To answer this question, transit agencies are transitioning to providing real-time transit information through smartphones or displayed at transit stops.

Real-time transit information improves the reliability and efficiency of passenger travel, through:

  • shorter perceived and actual wait times,
  • an increased feeling of safety,
  • increased ridership, and
  • a lower learning curve for new riders, since they don't have to know the route maps or...
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Dec 04, 2017
Principal Investigator: Liming Wang, Portland State University
Learn more about this curriculum and how you can apply it at your school by viewing the one-page Executive Summary and the full Final Report on the Project Overview page.

A NITC education grant funded a new course for planners, engineers, scientists and students to help improve their data processing workflow.

Liming Wang, an assistant professor in the Toulan School of Urban Studies & Planning at Portland State University, is on a mission to simplify data processing. A NITC education grant supported his efforts to develop a new course: Introduction to Data Science (Aug 6 - 10, 2018). The course is designed to help students and professionals to improve their workflow for data-intensive research. The course covers how to collect data, clean them up, visualize, explore, model and eventually compile the data with findings in a report.

"I've pretty...

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