{"_buckets": {"deposit": "18226413-721d-4904-b7dc-801867fb12d4"}, "_deposit": {"id": "4533", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4533"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4533", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Optimal Route Identification on Complex Road Network by Using Advanced Dijkstra’s Algorithm", "subitem_1551255648112": "en_US"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Emergency events never happen with prior alert and notification, and can damage people andcause permanent loss as consequences. For that reason, how to report the emergency serviceorganizations, to distinguish the location of emergency case exactly and to drive that place intime become the key factors in developing countries. The performance of emergency serviceswill be the best if they reach the incident site without delay where lives of damaged people andproperties can be saved. In order to get the incident site finally, emergency vehicles use the roadnetwork. Therefore, the optimal route finding problem for emergency vehicle becomes theimperative component in evacuation processes. But, according to the lack of effective emergencyroute response system and good structure road network, there are many difficulties for drivers togo and give the rapid response and rescue actions immediately. Calculating the optimal routebecomes one of the main tasks for emergency service transportation, which aims to provide theroute from an emergency service location to the emergency event location on a road map.Choosing a suitable route finding methods amongst the existing ones that apply on actual roadnetworks is also an important task for emergency service transportation. According to theseinspirations, the optimal route finding system for emergency vehicles is developed on theprinciples of client-server architecture. This architecture includes reporting and identifying theexact location of emergency case, calculating the nearest emergency services and calculating theoptimal route between emergency services and incident place. The proposed route findingsystem is mainly focused on Fire Emergency Event. In this research work, the importance ofroad network structure is presented, the problems faced by the drivers on the road network andthe issues of route finding process are discussed and the solutions to these problems aredescribed and explained in detail. To develop the proposed work, the database of Yangon RegionRoad Network is created with Open Street Map (OSM), and Quantum Geographic InformationSystem (QGIS) tool is applied on it to create the usable data format in the system. The locationof emergency services and streets condition data such as the streets that are not wide enough topass in or one-ended streets which are supported by Myanmar Fire Service Department and somedata are collected from satellite images and some are composed by crowd sourcing. The wellorganized database of proposed system can be used for verifying the exact location emergencycase, providing the nearest emergency services locations and the optimal route to go to theemergency location. The optimal route identification system for emergency vehicles is developedbased on Web Service by using well-organized database. In this research work, the distinction ofthe original route finding method and the proposed route finding method are presented, and thesetwo methods are applied on real road network data in order to compare and analyze theiroperational performance. In this proposed work, distance and time are used as cost factors tocalculate the optimal route. The proposed optimal route finding system is implemented as WebBased Application, and the results are displayed on Google map that must guide the drive way toreach the preferred place in time. The system can offer various kinds of optimal route findingsystem for other applications by altering and using appropriate geo-spatial databases."}]}, "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": "2019-12-13"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Optimal Route Identification.pdf", "filesize": [{"value": "7526 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 7526000.0, "url": {"url": "https://meral.edu.mm/record/4533/files/Optimal Route Identification.pdf"}, "version_id": "8d049ae1-bbdf-4689-a3f0-568843992c42"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "", "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": "University of Computer Studies, Yangon", "subitem_supervisor(s)": [{"subitem_supervisor": ""}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Phyo, K-zin"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Thesis"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2019-11"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/2457"}, "item_title": "Optimal Route Identification on Complex Road Network by Using Advanced Dijkstra’s Algorithm", "item_type_id": "21", "owner": "1", "path": ["1597824322519"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004533", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-12-13"}, "publish_date": "2019-12-13", "publish_status": "0", "recid": "4533", "relation": {}, "relation_version_is_last": true, "title": ["Optimal Route Identification on Complex Road Network by Using Advanced Dijkstra’s Algorithm"], "weko_shared_id": -1}