{"_buckets": {"deposit": "a68f8b4f-e2dd-4543-a51f-730f0f0146ab"}, "_deposit": {"id": "4247", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4247"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4247", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Estimation of Traffic Congestion States using GPS Data", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Road traffic congestion is majorproblem in urban area of both developing anddeveloped countries. In order to reduce thisproblem, traffic congestion states of roadnetworks are estimated so that congested roadcan be avoided. In this system, we estimate thecurrent traffic congestion states of user’s desiredsource and destination and present the estimatedresults in Google Map. To get the traffic data weuse GPS data from mobile phones on vehiclesbut this GPS points can have ambiguity. Thedecision support topological based mapmatching algorithm that can solve the ambiguityof GPS data is used to identify which vehiclesare on which road by matching these GPS datawith road networks. The historical trafficcondition data of each road network on eachtime using the pre-collected data are utilized inthis research. We use Hidden Markov model(HMM) for estimating the traffic condition statesof these road network using historical trafficdata. These estimated traffic probabilities statesare presented by coloring (traffic jam for red,traffic heavy for blue and traffic normal forgreen) users’ desired source and destination roadsegments on Google Map. We evaluate ourestimating system using dataset generated bycollect data from mobile phone-equippedvehicles over a period of 4 months in Yangon."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value": []}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2019-07-03"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "20168.pdf", "filesize": [{"value": "1126 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 1126000.0, "url": {"url": "https://meral.edu.mm/record/4247/files/20168.pdf"}, "version_id": "bd0f4049-8629-45a2-9982-87b7aeb11d2a"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Fourteenth International Conference On Computer Applications (ICCA 2016)", "subitem_pages": "", "subitem_volume": ""}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "", "subitem_c_date": "", "subitem_conference_title": "", "subitem_part": "", "subitem_place": "", "subitem_session": "", "subitem_website": ""}]}, "item_1583103211336": {"attribute_name": "Books/reports/chapters", "attribute_value_mlt": [{"subitem_book_title": "", "subitem_isbn": "", "subitem_pages": "", "subitem_place": "", "subitem_publisher": ""}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_awarding_university": "", "subitem_supervisor(s)": [{"subitem_supervisor": ""}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Lwin, Hnin Thant"}, {"subitem_authors_fullname": "Naing, Thinn Thu"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Article"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2016-02-25"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/202"}, "item_title": "Estimation of Traffic Congestion States using GPS Data", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004247", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-03"}, "publish_date": "2019-07-03", "publish_status": "0", "recid": "4247", "relation": {}, "relation_version_is_last": true, "title": ["Estimation of Traffic Congestion States using GPS Data"], "weko_shared_id": -1}