One of the main barriers to a better understanding of activities and
travel patterns is the difficulty in collecting long-duration data.
Previous studies have examined computer-aided interview techniques.
Others have researched the potential for global positioning system
(GPS) antennas to collect more accurate travel data. This
dissertation adds the use of wireless communications technology to
integrate GPS data with a dynamically generated, web-based activity
survey. In addition, three separate analysis techniques are examined
using the results of an informal pilot test. The goal of these
analysis techniques is to weave together the large set of GPS data
that can be collected with the much smaller set of activity
responses. The net result represents both an advance in data
collection techniques, as well as a new, peer-to-peer approach to
gathering and sharing experiential transportation information, an
approach that should be incorporated into future Intelligent
Transportation Systems designs.
Speakers
James Marca
speaker
