The Portland Streetcar
Principal Investigators: Kristin Tufte, Portland State University; Larry Head, University of Arizona
Project Overview: NITC Connected Vehicle Platform / Connected Streetcar Project (pending name change)

Learn more about this and other "Smart Cities" technology by registering for this September 14 workshop.

Connected Vehicle (CV) technology is coming to Portland, Oregon. We're excited to announce the first step in what could be a long-term game changer for the city: during the winter of 2018, researchers from Portland State University and University of Arizona will work with the City of Portland to deploy a test concept of CV tech on the Portland Streetcar.

Primarily funded by the National Institute for Transportation and Communities (NITC), the Connected Streetcar Project is one of the Portland...

Read more
A bicyclists rides down a neighborhood greenway
Principal Investigator: Jenny Liu, Portland State University
Learn more about this research by viewing the Executive Summary and the full Final Report, or watching the January 2018 seminar on the Project Overview page.

Portland, Oregon's 2035 Comprehensive Plan calls for “City Greenways” - a citywide network of park-like streets focused on moving pedestrians and bicycles safely. Such a connected network of safe, welcoming active transportation options could have significant benefits for residents—but which residents?

Benefits of bike and pedestrian infrastructure include environmentally sustainable transportation, livability, and improvements in economic development and public health. While these outcomes are well documented, it is also known that both transportation and...

Read more
Left: Bicycles on a trail; Right: Young woman buying transit pass

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...

Read more
People looking at laptops
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...

Read more
People board a bus
Principal Investigator: Ran Wei, University of California, Riverside
Learn more about this research by viewing the Executive Summary and the full Final Report on the Project Overview page, or sign up for our September 14 half-day workshop in Portland, OR.

Regular assessment of public transit performance is essential. With limited funding and growing public needs, performance evaluation helps identify areas for improvement. But what, exactly, is the desired improvement that transit agencies seek?

If the answer is operational efficiency, then agencies have a clear goal: to achieve the highest ridership possible with the lowest operational costs.

If the answer is access equity, then again a clear goal emerges: to extend transit to neighborhoods with high concentrations of low-income residents and minorities, and to evaluate proposed route changes through the lens of supplying much-needed services.

The real answer, of course, is both. Historically, research has examined...

Read more
Stock image of bicycles

The National Institute for Transportation and Communities (NITC) program has released its 2018 Small Starts request for proposals (RFP). Faculty at NITC's partner universities* are invited to submit abstracts by September 17, 2018.

The Small Starts grant assists researchers (based at NITC partner universities) who are interested in transportation but have not had an opportunity to undertake a small project ($20,000 or less). Read about the Small Starts projects that were funded in 2017. Projects must be consistent with NITC's theme of improving the mobility of people and goods to build strong communities.

Our theme includes a few key topics:

  • Increasing access to opportunities
  • Improving multi-modal planning and shared use of infrastructure
  • Advancing innovation and smart cities
  • Developing data, models, and tools

Key Dates

  • RFP Opens: July 18, 2018
  • Proposals due: September 17, 2018
  • Award Selection: Sept-Oct 2018
  • Projects begin & funds...
Read more
Image of a street with cars

The National Institute for Transportation & Communities (NITC) research consortium, led by Portland State University, has awarded $926,000 in total funding for eleven research projects spanning five universities.

The General Research grant is NITC's flagship grant. Annually, we fund general research through a competitive, peer-reviewed RFP process for projects ($30,000 - $150,000) consistent with our theme of improving the mobility of people and goods to build strong communities.

Four of these new projects involve multi-university collaboration, and seven are advancing the transportation knowledge base by building upon an existing body of research. The new group of projects will help lead the deployment of innovative new technologies and practices to improve the safety and performance of transportation systems:

Led by Liming Wang of Portland State University with co-investigator Yao-Jan Wu of the University of Arizona
This multi-university collaboration expands upon previous research by Liming Wang,...
Read more
Students in reflective jackets with clipboards standing near a sidewalk
Jennifer Dill, Portland State University, and Tara Goddard, Texas A&M University

We’ve got a new curriculum guidebook for undergraduate and graduate students in transportation: a comprehensive set of class exercises to learn pedestrian observation and data collection strategies.

Addressing the challenges of an evolving transportation industry means embracing the study of non-motorized travel and preparing the new workforce for it. Funded by our university research consortium National Institute for Transportation and Communities (NITC), this guidebook was designed to enable instructors with little or no experience to integrate pedestrian-related curriculum into their teaching. While accessibility is a key feature...

Read more
Kelly Clifton and student - presenting research at TRB Annual Meeting
Principal Investigator: Kelly Clifton, Portland State University
Research spans multiple studies and years of work.
This content was originally published in the June 2018 edition of the  U.S. DOT UTC Spotlight series (PDF).

In recent decades, cities have become increasingly motivated to invest in infrastructure that supports multimodal options like walking, biking and public transit. Trip generation, the first step in conventional four-step forecasting models, is a central figure in determining how those investments are made.

However, when considering pedestrian and bicycling travel, the current practice is usually to either leave those trips out of the model altogether, or to simply present them as a mode choice option that is not analyzed further. In short, they’re car-centric.

Without reliable trip generation rates for anyone but drivers, an accurate transportation impact is difficult to predict. Certain land uses will draw far more walkers, cyclists and transit riders than drivers. Cities lack enough information to strategically plan for multimodal investments.

Researcher Kelly...

Read more

Pages