{"_buckets": {"deposit": "b60b3ce6-2f28-4610-8ec0-8af286b6e3b8"}, "_deposit": {"id": "4286", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4286"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4286", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Optimal Route Finding to Support Fire Emergency Service", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Urban fire is one of the most ordinaryproblems in all nations. Fire can cause seriousdamages to people and properties. When the fireevent occurred, it is extremely important to reachthe fire vehicles to incident site as fast aspossible. To reach to the incident site in shorttime and fast, we need to exactly identify theincident location and need to determine thesuitable route. But there are some difficulties toidentify the incident location and to chooseoptimal route. Because the road networkinfrastructure of Myanmar is still weak instructure. In some townships, there are narrowedroads which could not clearly see from GoogleEarth and not wide enough to enter the firevehicles and closed roads which are not passedthrough the other streets. These roads can causeproblems for drivers and delays during theemergency cases. Another difficulty is thatGoogle Map can’t give the user desired locationwhen we used the specific address. As mention inabove, some fire vehicles can\u0027t reach the incidentlocation in time. So, we develop GIS based optimal route finding system to support fireemergency services. This system is intended toidentify the fire incident location in short time, tofind the nearest fire station and calculate theoptimal route to travel the incident site from firestation by avoiding the closed and narrowedroads. In this paper, the optimal route iscalculated by using Dijkstra’s Algorithm and we also considered the traffic condition in routefinding."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Google Earth"}, {"interim": "Emergency"}, {"interim": "Dijkstra’s algorithm"}, {"interim": "Optimal Route Finding System"}]}, "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": "201612.pdf", "filesize": [{"value": "373 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 373000.0, "url": {"url": "https://meral.edu.mm/record/4286/files/201612.pdf"}, "version_id": "f3ea433a-d556-4127-a419-1f68fb4c9945"}]}, "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": "Phyo, K-zin"}, {"subitem_authors_fullname": "Sein, Myint Myint"}]}]}, "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/123456789/218"}, "item_title": "Optimal Route Finding to Support Fire Emergency Service", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004286", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-03"}, "publish_date": "2019-07-03", "publish_status": "0", "recid": "4286", "relation": {}, "relation_version_is_last": true, "title": ["Optimal Route Finding to Support Fire Emergency Service"], "weko_shared_id": -1}