Post date: Thu, 05/10/2018 - 12:37pm
Event Date:
Aug 09, 2018
Content Type: Events
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 University of South Florida seeks to remove some of these barriers to make real-time transit info a universal amenity. As a public agency partner, moovel focuses on delivering simple, frictionless and accurate information through mobile applications. From mobile ticketing to multi/intermodal trip planning, booking and payment, moovel’s mobile apps take a customer-first approach to enhance the customer...

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Transit Data
Post date: Thu, 05/10/2018 - 12:35pm
Event Date:
Content Type: News Item
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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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: 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: Tue, 03/07/2017 - 2:45pm
Event Date:
Content Type: News Item

A new NITC report from the University of South Florida makes it easier than ever for cities to collect useful bike data.

Cities like Portland, Oregon, Atlanta and San Francisco have started using smartphone apps to learn how people are using their bicycle infrastructure. The data can help planners decide what designs or upgrades are needed for the bicycle network.

The NITC project Rapidly Expanding Mobile Apps for Crowd-sourcing Bike Data to New Cities takes this idea a step further by creating a proof-of-concept multi-region architecture that would allow cities to share the same set of mobile apps, rather than each city launching its own.

This would significantly reduce the cost of deploying the apps.

Sean Barbeau of USF’s Center for Urban Transportation Research (CUTR) led the team in developing the open-source software that allows existing apps to communicate with regional servers.

With it, rather than each city having to modify and deploy their own iOS or Android app, all that a city would need to do is set up a server specific to their geographic area.

Having...

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

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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 from big data and concurrent machine learning techniques, and results from a preliminary application of a...

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Tags
Post date: Mon, 11/14/2016 - 10:56pm
Event Date:
Dec 13, 2016
Content Type: Events

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If you would like to receive continuing education credits such as PDH or CM, please make sure to complete this evaluation form once you've watched the entire video so that we have a record of your attendance.

Watch video:

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Post date: Tue, 10/11/2016 - 12:11pm
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Content Type: News Item

A new NITC report introduces an important tool for safety analysis: a naturalistic method of data collection that can be used to improve the cycling experience.

Before now, most naturalistic studies (studies where data are collected in a natural setting, rather than a controlled setting) in bicycle safety research have been captured by stationary cameras and haven't followed cyclists along a route.

Researchers in this study used first-person video and sensor data to measure cyclists' reactions to specific situations.

Safety research in general has advanced significantly through naturalistic driving studies, which gather data from real drivers to illuminate the causes of traffic incidents both major and minor. For motorized vehicles, the U.S. Department of Transportation has been developing portable, vehicle-based data collection technologies since the early 1990s.

Portland State University researchers Feng Liu, Miguel Figliozzi and Wu-chi Feng sought to capture the cycling experience with physiological sensors and helmet-mounted cameras.

Their report, Utilizing Ego-centric Video to Conduct Naturalistic Bicycling Studies, offers a successful method for integrating video and sensor data to record cyclists...

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