Connected Vehicles Illustration showing icons of wifi over a road
Apr 01, 2020
Image by metamorworks/iStock
Xianfeng Yang, University of Utah; Mingyue Ji, University of Utah

Now that we are decades into the Age of Information, it's increasingly important to minimize the age of information: that is, to make sure the information we have is the very latest.

In the world of connected vehicle technology, Age of Information (AoI) is a concept that was introduced in 2012 to quantify the “freshness” of knowledge about the status of remote systems. The latest NITC...

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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...
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a visualization of trips entering and exiting Salt Lake City
Mar 03, 2020
Nikola Markovic, University of Utah

The University of Utah has a new data visualization service to offer to state DOTs and other agencies. Using Small Starts funding from the National Institute for Transportation and Communities (NITC), researcher Nikola Markovic and his team have developed a suite of visual analysis tools to demonstrate how GPS trajectory data can help accurately model and analyze mobility trends. These data are typically purchased from vendors, which means that transportation agencies must...

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TRB
Feb 05, 2020

We've collected posters and presentations of NITC research at TRB. Explore the links below to see what NITC researchers brought to D.C. this year—the below projects have a connection to NITC funding, but are not necessarily representative of the full body of work that researchers at these institutions brought to the annual meeting.

Check out our TRB 2020 photo album here!


Portland State University

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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

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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...

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Jenny Liu presents a poster at TRB 2019
Jan 06, 2020

This page serves as a homebase for our coverage of the 2020 Transportation Research Board (TRB) annual conference. Check back here for ongoing updates, as well as our Twitter and Facebook.

  • NITC GUIDE TO TRB (PDF): Our printable schedule of where all of our NITC researchers will be presenting at lectures, poster sessions, and workshops.

  • NITC RECEPTION AT TRB: Join us for transportation bingo and networking on Monday, January 13 (8:00 –10:30 PM) nearby at Fadó Irish Pub.

  • NITC STUDENT AWARD AT CUTC BANQUET: We’ll be celebrating our 2019 NITC “Student of the Year,"  Samuel Jensen of the University of Arizona, at the annual CUTC Banquet.

NITC AT TRB 2020 HIGHLIGHTS

Below is a small sampling of the expertise NITC is bringing to TRB 2020. For the ...

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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...

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