Current practices of tracking e-bike data rely on memory recall and self-reporting from the user. Our approach will instead leverage smartphones to conduct ad-hoc travel surveys to supplement the passive data collection and, using machine learning algorithms, create the largest and richest dataset to support the growth of e-bike use as a transportation option.
We will measure real-world travel behavior and assess the sustainability impacts of those choices. We are developing a platform that is easily deployable, non-invasive, and leverages computing resources enabled by e-bike technology and smartphone sensor capability.
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Questions? Contact John MacArthur at email@example.com