Post date: Thu, 11/29/2018 - 11:38am
Event Date:
Jan 24, 2019
Content Type: Events

 

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 control function, such as speed harmonization, on highways. 

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KEY LEARNING OUTCOMES

At the end of this webinar, the learner will be able to:

    ...
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Automatic bicycle counter showing how many cyclists have passed today, and this year.
Post date: Thu, 11/01/2018 - 11:21am
Event Date:
Content Type: News Item
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.

THE NEW PROJECT

Active transportation modes such as bicycling are associated with benefits like lower congestion and emission levels, and improvements in public health. Many cities are interested in increasing bicycle activity, but in order to understand what works, cities require accurate accounting of bicycle traffic. This requires re-thinking the way we conduct estimation methods, data inputs, and modeling techniques.

To that end, a group of local agency partners pooled resources to fund the research project:...

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Left: Bicycles on a trail; Right: Young woman buying transit pass
Post date: Thu, 08/23/2018 - 11:31am
Event Date:
Content Type: News Item

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
Post date: Thu, 08/23/2018 - 10:46am
Event Date:
Content Type: News Item
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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Post date: Thu, 05/10/2018 - 12:37pm
Event Date:
Aug 09, 2018
Content Type: Events

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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Post date: Mon, 12/04/2017 - 2:28pm
Event Date:
Content Type: News Item
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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Post date: Mon, 06/05/2017 - 5:28pm
Event Date:
Jun 12, 2017
Content Type: Event (discontinue usage)

The Portland State University Department of Civil and Environmental Engineering is pleased to announce that NITC dissertation fellow Kristina Currans will defend her PhD Dissertation: "Data and Methodological Issues in Assessing Multimodal Transportation Impacts for Urban Development."

Advisor: Dr. Kelly J. Clifton

Since its first edition in 1976, the Institute of Transportation Engineers (ITE) Trip Generation Handbook has become the predominant method for estimating the transportation impacts of land use, despite the lack of sensitivity to changes in the urban environments. As a result, local governments continue to be hampered by the urban application of the...

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Post date: Tue, 05/30/2017 - 1:13pm
Event Date:
Content Type: News Item

As social media comes to permeate every aspect of modern life, public transit is no exception.

Transit agencies are increasingly making social media an integral part of their day-to-day management, using it to connect with riders about system alerts, live transit arrival information, service disruptions and customer feedback.

However, there is very little evidence to show how effective these efforts really are in achieving agency goals.

Measuring the Impacts of Social Media on Advancing Public Transit, a NITC project led by Jenny Liu of Portland State University, seeks to provide a better understanding of how transit agencies use social media and to develop some performance measures to assess the impacts of social media on promoting public transit.

This project aims to measure how social media actually impacts agency goals like increasing recruitment and retention of transit riders; increasing resources and customer satisfaction; addressing system performance efficiency; and improving employee productivity and morale.

A survey of 27 public transportation providers across the country found that although 94% of those surveyed agencies used some form of social media, only 28% had a social media plan or strategy prior to implementation.

Liu’s research explores the types of performance measures that could...

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Post date: Fri, 12/23/2016 - 11:39am
Event Date:
Mar 03, 2017
Content Type: Events

View slides

Watch video:

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 discussion on elements of travel models that could quickly benefit...

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