Kwanalytics: A geographic information system for crowdsourcing and aggregating road surface quality information from smartphones
Date
2020
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Abstract
Road surface quality information is critical to road users when navigating road networks,
and road authorities when making decisions on road infrastructure. However, not many
systems exist that readily provide this information. This work connects prior work and
proposes a geographic information system for crowdsourcing and aggregating
probabilistic road surface quality information collected from users’ smartphones from
various times and at different geographic locations.
Description
Undergraduate thesis submitted to the Department of Computer Science, Ashesi University, in partial fulfillment of Bachelor of Science degree in Computer Science, May 2020
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Undergraduate thesis
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Keywords
modeling, road surface quality, crowdsourcing