{"id":"https://openalex.org/W1986293832","doi":"https://doi.org/10.1145/2525314.2525466","title":"Map matching","display_name":"Map matching","publication_year":2013,"publication_date":"2013-11-05","ids":{"openalex":"https://openalex.org/W1986293832","doi":"https://doi.org/10.1145/2525314.2525466","mag":"1986293832"},"language":"en","primary_location":{"id":"doi:10.1145/2525314.2525466","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2525314.2525466","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5072108555","display_name":"Mudhakar Srivatsa","orcid":"https://orcid.org/0000-0002-5874-3750"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mudhakar Srivatsa","raw_affiliation_strings":["IBM Research","IBM Research, -"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research","institution_ids":[]},{"raw_affiliation_string":"IBM Research, -","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011324325","display_name":"Raghu Ganti","orcid":"https://orcid.org/0000-0003-3658-7918"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raghu Ganti","raw_affiliation_strings":["IBM Research","IBM Research, -"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research","institution_ids":[]},{"raw_affiliation_string":"IBM Research, -","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100426898","display_name":"Jingjing Wang","orcid":"https://orcid.org/0000-0003-3170-8952"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]},{"id":"https://openalex.org/I308392441","display_name":"International University of the Caribbean","ror":"https://ror.org/02rv57d03","country_code":"JM","type":"education","lineage":["https://openalex.org/I308392441"]}],"countries":["JM","US"],"is_corresponding":false,"raw_author_name":"Jingjing Wang","raw_affiliation_strings":["UIUC","UIUC#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UIUC","institution_ids":["https://openalex.org/I308392441"]},{"raw_affiliation_string":"UIUC#TAB#","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075541288","display_name":"Vinay Kolar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vinay Kolar","raw_affiliation_strings":["IBM India Research Lab","IBM, India Research Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM India Research Lab","institution_ids":["https://openalex.org/I4210103279"]},{"raw_affiliation_string":"IBM, India Research Lab","institution_ids":["https://openalex.org/I4210103279"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4757,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.71330182,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"484","last_page":"487"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9976000189781189,"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/T11106","display_name":"Data Management and Algorithms","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.8178560733795166},{"id":"https://openalex.org/keywords/viterbi-algorithm","display_name":"Viterbi algorithm","score":0.7955870628356934},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7176735997200012},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6537514925003052},{"id":"https://openalex.org/keywords/map-matching","display_name":"Map matching","score":0.6454429626464844},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5397063493728638},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5176751613616943},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4769017696380615},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46517157554626465},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.46180739998817444},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4606163203716278},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4563899040222168},{"id":"https://openalex.org/keywords/forward-algorithm","display_name":"Forward algorithm","score":0.4554736614227295},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45383408665657043},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4152929186820984},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.3434211015701294},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27940839529037476},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.20767050981521606},{"id":"https://openalex.org/keywords/variable-order-markov-model","display_name":"Variable-order Markov model","score":0.20430409908294678},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1756061315536499}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.8178560733795166},{"id":"https://openalex.org/C60582962","wikidata":"https://www.wikidata.org/wiki/Q83886","display_name":"Viterbi algorithm","level":3,"score":0.7955870628356934},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7176735997200012},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6537514925003052},{"id":"https://openalex.org/C2778559875","wikidata":"https://www.wikidata.org/wiki/Q1892023","display_name":"Map matching","level":3,"score":0.6454429626464844},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5397063493728638},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5176751613616943},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4769017696380615},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46517157554626465},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.46180739998817444},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4606163203716278},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4563899040222168},{"id":"https://openalex.org/C196455857","wikidata":"https://www.wikidata.org/wiki/Q5473264","display_name":"Forward algorithm","level":5,"score":0.4554736614227295},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45383408665657043},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4152929186820984},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.3434211015701294},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27940839529037476},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.20767050981521606},{"id":"https://openalex.org/C54907487","wikidata":"https://www.wikidata.org/wiki/Q7915688","display_name":"Variable-order Markov model","level":4,"score":0.20430409908294678},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1756061315536499},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2525314.2525466","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2525314.2525466","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G948678646","display_name":null,"funder_award_id":"W911NF-09-2-0053","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"}],"funders":[{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1486401165","https://openalex.org/W1605476884","https://openalex.org/W1983012699","https://openalex.org/W1996573126","https://openalex.org/W2022739057","https://openalex.org/W2135822894","https://openalex.org/W2145457662","https://openalex.org/W2165666226"],"related_works":["https://openalex.org/W1975869217","https://openalex.org/W2136652457","https://openalex.org/W4312943493","https://openalex.org/W2849436992","https://openalex.org/W1510894296","https://openalex.org/W2383829109","https://openalex.org/W2401728283","https://openalex.org/W2408529216","https://openalex.org/W2116722627","https://openalex.org/W2379938888"],"abstract_inverted_index":{"Hidden":[0],"Markov":[1],"Models":[2],"(HMMs)":[3],"based":[4],"map":[5,39,96,124],"matching":[6,40,97,125],"-":[7,19],"that":[8,45,58,99,139],"matches":[9],"a":[10,16,22,72,129],"sequence":[11],"of":[12,24,77,114,122,148],"location":[13],"samples":[14],"to":[15,70,94,137],"road":[17,115],"network":[18],"has":[20,67],"received":[21],"lot":[23],"traction":[25],"in":[26,111,146],"recent":[27],"years.":[28],"In":[29],"this":[30],"paper":[31],"we":[32,89],"revisit":[33],"the":[34,43,46,53,64,95,112],"basic":[35],"assumption":[36],"underlying":[37],"HMM-based":[38,123,144],"algorithms,":[41],"namely,":[42],"hypothesis":[44],"true":[47],"mobility":[48,59,80],"is":[49,60],"Markovian.":[50],"We":[51,132],"use":[52],"Chapman-Kolmogorov":[54],"test":[55],"and":[56,117,152],"argue":[57],"non-Markovian":[61],"(especially":[62],"when":[63],"moving":[65],"object":[66],"an":[68,91],"intent":[69],"reach":[71],"specific":[73],"destination)":[74],"using":[75,128],"thousands":[76],"real":[78],"taxicab":[79],"datasets":[81],"spanning":[82],"several":[83],"weeks.":[84],"Based":[85],"on":[86,102],"these":[87],"observations":[88],"present":[90,133],"alternate":[92],"approach":[93,141],"problem":[98],"relies":[100],"exclusively":[101],"shortest":[103],"path":[104],"computations,":[105],"which":[106],"are":[107],"at":[108],"most":[109],"linear":[110],"number":[113],"segments,":[116],"thus":[118],"avoids":[119],"expensive":[120],"complexity":[121,151],"algorithms":[126],"(e.g.,":[127],"Viterbi":[130],"decoder).":[131],"extensive":[134],"experimental":[135],"results":[136],"show":[138],"our":[140],"vastly":[142],"outperforms":[143],"approaches":[145],"terms":[147],"both":[149],"computational":[150],"accuracy.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-06-24T00:00:00"}