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dc.contributor.authorWu, Tsung-Hsiangen_US
dc.contributor.authorYi, Chih-Weien_US
dc.contributor.authorChan, Ching-Yaoen_US
dc.contributor.authorChang, Ya-Lanen_US
dc.contributor.authorTseng, Chien-Chaoen_US
dc.contributor.authorChung, Chun-Fuen_US
dc.date.accessioned2017-04-21T06:49:27Z-
dc.date.available2017-04-21T06:49:27Z-
dc.date.issued2015en_US
dc.identifier.isbn978-4-8855-2296-3en_US
dc.identifier.urihttp://hdl.handle.net/11536/135811-
dc.description.abstractIn most developed and developing countries, the maintenance of roadway pavement consumes considerable resources and represents a major item in government budget. However, due to the lack of sustainable and systematic approaches to implement long-term road pavement monitoring and assessment, the cost-effectiveness of performing such tasks is often a concern. In this paper, a crowdsourcing framework is proposed as a solution based on a smart probe car (SPC) system that utilizes mobile sensing technologies to collect environmental roadway data. Built upon the probe-vehicle system, the proposed method not only has the potential to save a significant amount of resources but also makes it possible to acquire real-time pavement information in a large scale.en_US
dc.language.isoen_USen_US
dc.titleA Preliminary Study on SPC-Crowd Pavement Indexingen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2015 17TH ASIA-PACIFIC NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM APNOMSen_US
dc.citation.spage336en_US
dc.citation.epage339en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000380399700040en_US
dc.citation.woscount0en_US
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