{"id":"https://openalex.org/W2189209192","doi":null,"title":"SMART MAPS BASED ON GPS PATHLOGS","display_name":"SMART MAPS BASED ON GPS PATHLOGS","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2189209192","mag":"2189209192"},"language":"en","primary_location":{"id":"mag:2189209192","doi":null,"is_oa":false,"landing_page_url":"http://ijirset.com/upload/2014/february/73_SMART.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S2764936073","display_name":"International Journal of Innovative Research in Science Engineering and Technology","issn_l":"2319-8753","issn":["2319-8753","2347-6710"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":"https://openalex.org/P4323238129","host_organization_name":"Ess And Ess Research Publications","host_organization_lineage":["https://openalex.org/P4323238129"],"host_organization_lineage_names":["Ess And Ess Research Publications"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Innovative Research in Science Engineering and Technology","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110411495","display_name":"M. Monica Bhavani","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. Monica Bhavani","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101566246","display_name":"K. Uma Maheswari","orcid":"https://orcid.org/0000-0002-2621-9348","observed_orcids":["https://orcid.org/0000-0002-2621-9348"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K. Uma Maheswari","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-2621-9348","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9136000275611877,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9136000275611877,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.04309999942779541,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.009999999776482582,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/smart-maps","display_name":"smart maps","score":0.9570000171661377},{"id":"https://openalex.org/keywords/road-segmentation","display_name":"road segmentation","score":0.8679999709129333},{"id":"https://openalex.org/keywords/traffic-condition-prediction","display_name":"traffic condition prediction","score":0.9139999747276306},{"id":"https://openalex.org/keywords/travel-time-estimation","display_name":"travel time estimation","score":0.7110000252723694},{"id":"https://openalex.org/keywords/urban-traffic","display_name":"urban traffic","score":0.3930000066757202}],"concepts":[{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.805102527141571},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.7831190824508667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7117059230804443},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5405229330062866},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48811468482017517},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46951788663864136},{"id":"https://openalex.org/C41856607","wikidata":"https://www.wikidata.org/wiki/Q483130","display_name":"Geographic information system","level":2,"score":0.4393082559108734},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.43558168411254883},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3699541687965393},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.30063551664352417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22585082054138184},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.22277146577835083},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.09381777048110962},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0731392502784729},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2189209192","doi":null,"is_oa":false,"landing_page_url":"http://ijirset.com/upload/2014/february/73_SMART.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S2764936073","display_name":"International Journal of Innovative Research in Science Engineering and Technology","issn_l":"2319-8753","issn":["2319-8753","2347-6710"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":"https://openalex.org/P4323238129","host_organization_name":"Ess And Ess Research Publications","host_organization_lineage":["https://openalex.org/P4323238129"],"host_organization_lineage_names":["Ess And Ess Research Publications"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Innovative Research in Science Engineering and Technology","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":1.0,"id":"https://metadata.un.org/sdg/11"},{"display_name":"Industry, innovation and infrastructure","score":0.8970999717712402,"id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2014678176","https://openalex.org/W2022749020","https://openalex.org/W2031674781","https://openalex.org/W2089338760","https://openalex.org/W2094283130","https://openalex.org/W2111160151","https://openalex.org/W2136317921","https://openalex.org/W2143394441","https://openalex.org/W2166771065","https://openalex.org/W2189110458","https://openalex.org/W2189139187"],"related_works":["https://openalex.org/W2610395663","https://openalex.org/W2031674781","https://openalex.org/W2106545483","https://openalex.org/W7096366702","https://openalex.org/W7095915881","https://openalex.org/W77855321","https://openalex.org/W2261040412","https://openalex.org/W4368227428","https://openalex.org/W3006332352","https://openalex.org/W2247004721"],"abstract_inverted_index":{"Geographic":[0],"information":[1],"from":[2],"the":[3,15,31,38,43,47,52,61,65,73,79,91,101,105,114,119,148],"global":[4],"positioning":[5],"system":[6,62,110],"(GPS)":[7],"logs":[8,29],"of":[9,30,104,122,131,139],"taxi":[10],"cabs":[11],"are":[12,34,142],"useful":[13],"in":[14,67,129],"novel":[16],"applications":[17],"like":[18],"Smart":[19],"Maps":[20],"needed":[21],"for":[22],"a":[23,85],"city":[24],"traffic.":[25],"The":[26,108],"historical":[27],"path":[28],"GPS":[32,82],"trajectories":[33,83,123],"mined":[35],"to":[36,57,63,99,112],"provide":[37,113],"landmark":[39,44,93],"graph.":[40,94],"Based":[41],"on":[42,78,90],"graph":[45],"and":[46,59,84,118,127],"routing":[48],"algorithm":[49],"that":[50],"uses":[51],"variance-entropy":[53],"based":[54,77,89],"clustering":[55],"techniques":[56],"build":[58],"evaluate":[60],"find":[64],"routes":[66,141],"urban":[68],"areas.":[69],"Using":[70],"this":[71],"system,":[72],"road":[74],"is":[75,87,97,111],"segmented":[76],"real":[80],"world":[81],"route":[86],"evaluated":[88],"developed":[92],"This":[95],"model":[96],"used":[98],"predict":[100],"traffic":[102],"conditions":[103],"future":[106],"time.":[107],"proposed":[109],"travelling":[115],"time,":[116],"distance":[117],"available":[120],"number":[121],"between":[124],"every":[125],"source":[126],"destination":[128],"order":[130],"predicting":[132],"an":[133],"optimised":[134],"route.":[135],"On":[136],"average,":[137],"50%":[138],"our":[140],"at":[143],"least":[144],"20%":[145],"faster":[146],"than":[147],"competing":[149],"approaches.":[150]},"counts_by_year":[],"updated_date":"2025-10-10T17:16:08.811792","created_date":"2016-06-24T00:00:00"}
