Data Transferability and Data Mining

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Dr. Kouros Mohammadian, University of Illinois at Chicago
Dr. Mohammadian will discuss Transferability of Travel Survey Data for Small and Mid-Size Cities: A Household Travel Data Simulation Tool. Data Transferability is seen as an alternative solution to costly travel surveys for urban areas where regular travel data is difficult to collect, especially in small- and mid-sized communities. A comprehensive travel data transferability model and a software tool are developed that can facilitate travel data transferability and simulation of synthetic household level disaggregate travel data. The model is built upon earlier transferability studies by significantly enhancing the approach and addressing limitations of the previous studies. The software tool is tested on two case studies of Des Moines, IA and New York State. Nine household level travel attributes are simulated for the synthetic population of these regions. A comparison of the simulated travel data with the actual observed data, obtained from the NHTS add-on samples, proved the accuracy of the model. It is also shown that updating the distribution parameters of travel attributes can further improve the results. The model is then used for sensitivity analysis that includes scenarios such as changes to the demographics, aging population, and investments in the education system.
Sean Barbeau, Center for Urban Transportation Research
Mr. Barbeau will discuss TRAC-IT – A Software System for the Automatic Collection and Data Mining of Travel Behavior Data from GPS-enabled Mobile Phones. Transportation professionals use travel survey data to better understand the current demand and performance of the transportation infrastructure, to create and validate transportation models, and to plan in preparation for future growth. Next-generation travel surveys will utilize Global Positioning Systems (GPS) to collect trip data with minimal input from survey participants. Due to their ubiquity, GPS-enabled mobile phones are developing into a promising survey tool which can collect travel behavior data for all modes of transportation, including transit. TRAC-IT, developed at the Center for Urban Transportation Research at the University of South Florida under funding from the National Center for Transit Research and the Florida Department of Transportation, is a mobile phone software application that collects real-time GPS data (e.g. origin, destination, and travel path). The application is downloadable to the user’s cell phone and requires minimal input from the participant for data such as trip purpose, mode, and vehicle occupancy. TRAC-IT is also capable of providing real-time location-based services such as traffic alerts to the end user as an ongoing incentive for survey participation.

TMIP Online Event
Data Transferability and Data Mining

Continuing Education
This webinar is the equivalent of two (2) professional development hours (PDHs). TMIP does not issue certificates of attendance. If you attend the webinar, please save the information on this page for your files.

Item Type
Recorded Webinar

TMIP Subject Categories
Data GIS