Tracking travel patterns and modes is a goal that is useful on many levels, including calculating the transportation emissions of a population. Prior efforts to collect this information have been stymied by low accuracies or reliance on supplementary devices. In this paper, we describe a system that improves accuracy by using prompted recall on the smartphone, and aggregates the information to help detect large scale patterns. We also present the evaluation of a prototype implementation that was used to collect data from 44 users in the San Francisco Bay Area over 3 months.
Title
E-Mission: Automated transportation emission calculation using smart phones
Published
EECS Department, University of California, University of California at Berkeley, Berkeley, California, 2014-08-01
Full Collection Name
Electrical Engineering & Computer Sciences Technical Reports
Other Identifiers
EECS-2014-140
Type
Text
Extent
17 p
Archive
The Engineering Library
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