Connected Vehicle System Design for Signalized Arterials
Mar 05, 2020
 

PRESENTATION ARCHIVE

OVERVIEW

It can be expected that connected vehicles (CVs) systems will soon go beyond testbed and appear in real-world applications. To accommodate a large number of connected vehicles on the roads, traffic signal control systems on signalized arterials would require supports of various components such as roadside infrastructure, vehicle on-board devices, an effective communication network, and optimal control algorithms. In this project, we aim to establish a real-time and adaptive system for supporting the operations of CV-based traffic signal control functions. The proposed system will prioritize the communication needs of different types of CVs and best utilize the capacity of the communication channels. The CV data sensing and acquisition protocol, built on a newly developed concept of Age of Information (AoI), will support the feedback control loop to adjust signal timing plans.

Our multidisciplinary research team, including researchers from transportation engineering and electrical engineering, will carry out the project tasks along four directions that capitalized on the PIs’ expertise:

  1. Data collection and communication, in which the proposed system will...
Read more
Webinar: Visual Exploration of Trajectory Data
Feb 03, 2020
 

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 performance measures.

THE RESEARCH

... Read more
The Portland Streetcar and Portland MAX are visible, along with a green Bike Signal and a pedestrian walk button.
Jan 27, 2020

Photo by Cait McCusker

The National Institute for Transportation and Communities (NITC) program has released its 2020 general research request for proposals. Faculty at NITC's partner universities* are invited to submit abstracts by March 23, 2020.


Through funding provided by the U.S. DOT, we will award up to $1,000,000 to research projects that support NITC’s theme: improving mobility of people and goods to build strong communities. Our theme includes a few key topics:

Increasing access to opportunities.

Well-connected regions and communities can improve social equity by providing access to jobs, services, recreation, and social opportunities. Research should examine barriers to access, including the connections between transportation, land use, and housing. It should look at how to overcome these barriers and improve accessibility, affordability, and equity in our communities.

Improving multi-modal planning and shared use of infrastructure.

Improved mobility requires a range of options for moving people and goods. As concepts of mobility evolve, research is needed to understand how people and firms make mode choices so that we can design better multi-modal systems. Research should examine how...

Read more
New Travel Demand Models
Dec 18, 2019

PRESENTATION ARCHIVE

OVERVIEW

Conventional four-step travel demand models are used by nearly all metropolitan planning organizations (MPOs), state departments of transportation, and local planning agencies, as the basis for long-range transportation planning in the United States. A flaw of the four-step model is its relative insensitivity to the so-called D variables. The D variables are characteristics of the built environment that are known to affect travel behavior. The Ds are development density, land use diversity, street network design, destination accessibility, and distance to transit. In this seminar, we will explain how we developed a vehicle ownership model (car shedding model), an intrazonal travel model (internal capture model), and mode choice model that consider all of the D variables based on household travel surveys and built environmental data for 32, 31, and 29 regions, respectively, validates the models, and demonstrates that the models have far better predictive accuracy than Wasatch Front Regional Council (WFRC)/Mountailand Association of Governments’ (MAG) current models.

In this webinar, researchers Reid Ewing and Sadegh Sabouri will demonstrate the effectiveness of the new...

Read more
A view of the ballroom with attendees eating lunch during the Summit keynote
Oct 09, 2019

The 11th annual Transportation and Communities Summit 2019, held at Portland State University (PSU) on September 19–20, drew attendees from 14 states across the U.S. Over 250 people joined us for the Summit day, and nearly 60 took part in the deep-dive workshop day. We hope the event offered new opportunities for collaboration and synergy between researchers, practitioners, and community members.

Peter DeFazio, the U.S. Representative for Oregon's 4th congressional district, kicked off the day with a video welcome message for the summit attendees, followed on the main stage by TREC director and urban planning faculty Jennifer Dill. 

At lunchtime Ben Wellington, the data...

Read more
Social Transportation Analytic Toolbox (STAT) for Transit Networks
Jul 31, 2019

 

PRESENTATION ARCHIVE

Miss the webinar or want a look back?

OVERVIEW

This webinar will present an open-source socio-transportation analytic toolbox (STAT) for public transit system planning. This webinar will consist of a demonstration of the STAT toolbox, for the primary purpose of getting feedback from transit agencies on the tool's usefulness. We are especially interested in hearing about any improvements that would aid transit agencies in implementing it.

The STAT toolbox was created in an effort to integrate social media and general transit feed specification (GTFS) data for transit agencies, to aid in evaluating and enhancing the performance of public transit systems. The toolbox enables the integration, analysis, and visualization of two major new open transportation data sources—social media and GTFS data—to support transit decision making. In this webinar, we will introduce how we...

Read more
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,...

Read more
An aerial view of a multifamily housing complex next to a road
Jul 10, 2019
Photo by cegli
Kelly Clifton, Portland State University

Many cities are reconsidering their reliance on ITE's Trip Generation Manual, now in its 10th edition. 

Kelly Clifton, TREC researcher and associate dean for research of Portland State University's Maseeh College of Engineering & Computer Science, is one of the people leading the charge to identify better, more nuanced ways to anticipate transportation demand; especially person (non-car) trips. In an extended series of TREC projects, Clifton and...

Read more
People on e-scooters
Jul 10, 2019

The National Institute for Transportation & Communities (NITC) research consortium, led by Portland State University, has awarded $1.035 million in total funding for ten research projects spanning five universities. This year we focused funding on micromobility, traffic, meeting the transportation needs of underserved populations and people with disabilities, and the intersection of transportation and housing.

Led by Reid Ewing of the University of Utah, Nicole Iroz-Elardo and Arlie Adkins of the University of Arizona
 
Led by Yao-Jan Wu of the University of Arizona, Xianfeng Yang of the University of Utah and Sirisha Kothuri of Portland State University
This multi-university collaboration builds upon previous research led by Yao-Jan Wu in multi-modal traffic monitoring, as well as...
Read more
Pedestrians cross near a light rail amid mixed-use development
Mar 05, 2019

The National Institute for Transportation and Communities (NITC) program has released its 2019 general research request for proposals. Faculty at NITC's partner universities* are invited to submit abstracts by March 29, 2019.


Through funding provided by the U.S. DOT, we will award up to $1,000,000 to research projects that support NITC’s theme: improving 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

2019 RESEARCH PRIORITIES

The NITC Advisory Board has provided input into several research priorities that relate to multimodal transportation data and the transportation-land use-housing connection. NITC is prioritizing the funding of proposals that directly addresses research questions related to:

Developing Data, Models and Tools. Agencies are confronting a plethora of new mobility options along with new data sources to support transportation research, planning, and analysis. Several priority research areas have been identified to increase understanding: 

  • Collection of multimodal...
Read more

Pages