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Collecting Bus Locations by Users: A Crowdsourcing Model to Estimate Operation Status of Bus Transit Service.

, , , , и . HCI (21), том 10921 из Lecture Notes in Computer Science, стр. 171-180. Springer, (2018)

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Другие публикации лиц с тем же именем

On Feasibility of Crowdsourced Mobile Sensing for Smarter City Life., , , , и . HCI (19), том 9749 из Lecture Notes in Computer Science, стр. 395-404. Springer, (2016)Detecting the road surface condition by using mobile crowdsensing with drive recorder., и . ITSC, стр. 1-8. IEEE, (2017)Estimating Road Surface Condition Using Crowdsourcing., , , , и . ISIP, том 760 из Communications in Computer and Information Science, стр. 66-81. Springer, (2016)Collecting Bus Locations by Users: A Crowdsourcing Model to Estimate Operation Status of Bus Transit Service., , , , и . HCI (21), том 10921 из Lecture Notes in Computer Science, стр. 171-180. Springer, (2018)Interactive Framework for Exploratory Search, Integration, and Visual Analysis of Semantic Web Resources., и . iiWAS, стр. 200-206. ACM, (2014)On the Relationship Between Accuracy of Bus Position Estimated by Crowdsourcing and Participation Density., , и . HCI (22), том 11587 из Lecture Notes in Computer Science, стр. 101-112. Springer, (2019)A Smart City Application for Sharing Up-to-date Road Surface Conditions Detected from Crowdsourced Data., , , , и . HCI (21), том 10291 из Lecture Notes in Computer Science, стр. 219-234. Springer, (2017)