Tutorial – Using TRAC-IT for a Travel Behavior Survey. Sanyo Pro 200 with Java Micro Edition (Java ME). TRAC-IT Mobile Application (1). On the Sanyo Pro 200 (shown here), the TRAC-IT application is here: “Main Menu->My Content->Applications->TRACIT”
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Sanyo Pro 200 with Java Micro Edition (Java ME)
if you had ended the trip, but will
then click “Resume Trip” instead of
entering your starting location again
change how the data is collected) but feel
free if you find it useful
After recording GPS data using the cell phone and TRAC-IT software, you will get your TRAC-IT Session email with your travel behavior. This usually happens the day after you record your data. If you don’t receive an email 48 hours after recording the data, please email Sean with your session ID for the data at email@example.com
If you used the advanced “Record Trip” feature, after recording GPS data you will get your TRAC-IT Trip email with your travel behavior, including the location description as the “Starting/Ending Location.” This usually happens the day after you record your data. If you don’t receive an email 48 hours after recording the data, please email Sean for the data at firstname.lastname@example.org
Click on the “File for OpenStreetMap” link. You will be prompted to name the file something relevant and to save it in the GPX file format.
NOTE: Your SessionID appears in the name of the attached .ics file. You can use this name as the name of your GPX file. Just be sure to save the GPX file with the GPX extension (.GPX).
Follow the instructions in OSM Intro slides, or look at OpenStreetMap.org (http://wiki.openstreetmap.org/wiki/Upload) for instructions uploading any GPX file.
You can also view your data in Google Earth by clicking on the “File for Google Earth” link in the feedback email to get the data in KMZ (i.e. zipped KML) format.
If you scroll down ->
Sean J. Barbeau, M.S. Comp.Sci.
Center for Urban Transportation Research
University of South Florida
4202 E. Fowler Avenue, CUT100
Tampa, FL 33620-5375
813.974.7208 2D barcode
USF Location-Aware Information Systems Lab