Crowdsourcing public transport data via livemobile tracking : Feasibility study of a system capable of collecting mobile data to build a database ofpublic transit routes, stops and timetables, using machine learning techniques andgraph theory
Millions of people use public transport systems everywhere in the world, while the number of smartphones connected to the Internet is dramatically increasing. The aim of this thesis is to study, design, and prototype a system to collect data from the mobile devices of regular public transport users...
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Format: | Others |
Language: | English |
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KTH, Skolan för datavetenskap och kommunikation (CSC)
2014
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Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-153677 |