{"id":"https://openalex.org/W4321488690","doi":"https://doi.org/10.1109/icoin56518.2023.10049007","title":"A Practical HMM-Based Map-Matching Method for Pedestrian Navigation","display_name":"A Practical HMM-Based Map-Matching Method for Pedestrian Navigation","publication_year":2023,"publication_date":"2023-01-11","ids":{"openalex":"https://openalex.org/W4321488690","doi":"https://doi.org/10.1109/icoin56518.2023.10049007"},"language":"en","primary_location":{"id":"doi:10.1109/icoin56518.2023.10049007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icoin56518.2023.10049007","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Information Networking (ICOIN)","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/A5082281050","display_name":"Shengjie Ma","orcid":"https://orcid.org/0000-0001-7506-8120"},"institutions":[{"id":"https://openalex.org/I161024014","display_name":"Kwangwoon University","ror":"https://ror.org/02e9zc863","country_code":"KR","type":"education","lineage":["https://openalex.org/I161024014"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Shengjie Ma","raw_affiliation_strings":["Kwangwoon University,Dept. of Computer Engineering,Seoul,South Korea","Dept. of Computer Engineering, Kwangwoon University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Kwangwoon University,Dept. of Computer Engineering,Seoul,South Korea","institution_ids":["https://openalex.org/I161024014"]},{"raw_affiliation_string":"Dept. of Computer Engineering, Kwangwoon University, Seoul, South Korea","institution_ids":["https://openalex.org/I161024014"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101854844","display_name":"Hyukjoon Lee","orcid":"https://orcid.org/0000-0001-7624-2020"},"institutions":[{"id":"https://openalex.org/I161024014","display_name":"Kwangwoon University","ror":"https://ror.org/02e9zc863","country_code":"KR","type":"education","lineage":["https://openalex.org/I161024014"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyukjoon Lee","raw_affiliation_strings":["Kwangwoon University,Dept. of Computer Engineering,Seoul,South Korea","Dept. of Computer Engineering, Kwangwoon University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Kwangwoon University,Dept. of Computer Engineering,Seoul,South Korea","institution_ids":["https://openalex.org/I161024014"]},{"raw_affiliation_string":"Dept. of Computer Engineering, Kwangwoon University, Seoul, South Korea","institution_ids":["https://openalex.org/I161024014"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5082281050"],"corresponding_institution_ids":["https://openalex.org/I161024014"],"apc_list":null,"apc_paid":null,"fwci":0.9456,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.71430249,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"806","last_page":"811"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9975000023841858,"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":0.9975000023841858,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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":0.9919000267982483,"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/map-matching","display_name":"Map matching","score":0.9065953493118286},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.851922869682312},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.8295431137084961},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.734573483467102},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6256775856018066},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5080959796905518},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.5020627975463867},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4769417345523834},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4388046860694885},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40988174080848694},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.23319488763809204},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.15785691142082214},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12537354230880737},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11291742324829102},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07524019479751587}],"concepts":[{"id":"https://openalex.org/C2778559875","wikidata":"https://www.wikidata.org/wiki/Q1892023","display_name":"Map matching","level":3,"score":0.9065953493118286},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.851922869682312},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.8295431137084961},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.734573483467102},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6256775856018066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5080959796905518},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.5020627975463867},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4769417345523834},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4388046860694885},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40988174080848694},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.23319488763809204},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.15785691142082214},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12537354230880737},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11291742324829102},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07524019479751587},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icoin56518.2023.10049007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icoin56518.2023.10049007","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Information Networking (ICOIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W54893867","https://openalex.org/W1920377544","https://openalex.org/W1974666540","https://openalex.org/W2060733691","https://openalex.org/W2069040327","https://openalex.org/W2126695915","https://openalex.org/W2135822894","https://openalex.org/W2142384583","https://openalex.org/W2143021593","https://openalex.org/W2145022515","https://openalex.org/W2163540101","https://openalex.org/W2329363098","https://openalex.org/W2401054706","https://openalex.org/W2536126776","https://openalex.org/W2570995828","https://openalex.org/W2595918220","https://openalex.org/W2613344691","https://openalex.org/W2983745894","https://openalex.org/W2989383975","https://openalex.org/W2996479093","https://openalex.org/W3036899852","https://openalex.org/W3089110329","https://openalex.org/W3125675327","https://openalex.org/W3199931706","https://openalex.org/W4240740357","https://openalex.org/W6602180455","https://openalex.org/W6628744530"],"related_works":["https://openalex.org/W1942402104","https://openalex.org/W2094872030","https://openalex.org/W2005661815","https://openalex.org/W2146757636","https://openalex.org/W2099272513","https://openalex.org/W2991205432","https://openalex.org/W1728881569","https://openalex.org/W2108155874","https://openalex.org/W2358941527","https://openalex.org/W2393324510"],"abstract_inverted_index":{"Map-matching":[0],"is":[1,14,41,105],"an":[2,85],"important":[3],"component":[4],"in":[5,29],"pedestrian":[6,11,160],"navigation.":[7],"The":[8,131],"proliferation":[9],"of":[10,21,92,99,159],"navigation":[12],"applications":[13],"being":[15],"limited":[16],"by":[17],"the":[18,22,34,44,89,114,128,136,144,150,157],"severe":[19],"inaccuracies":[20],"current":[23],"GPS":[24,46,62,100,110,119],"available":[25],"on":[26,53],"smartphones,":[27],"especially":[28],"dense":[30],"urban":[31],"areas":[32],"where":[33],"distance":[35],"between":[36],"neighboring":[37],"streets":[38],"and":[39,155],"alleys":[40],"smaller":[42],"than":[43],"typical":[45],"error":[47,63],"range.":[48],"Although":[49],"map-matching":[50,138,153],"methods":[51,154],"based":[52],"HMM":[54],"are":[55],"considered":[56],"as":[57],"a":[58,67,74,96,117,124],"practical":[59],"approach":[60],"for":[61,107],"correction,":[64],"there":[65],"exist":[66],"few":[68],"issues":[69],"to":[70,87],"be":[71,78],"addressed":[72],"before":[73],"wide-scale":[75],"deployment":[76],"can":[77,141],"made.":[79],"In":[80],"this":[81],"paper,":[82],"we":[83],"propose":[84],"algorithm":[86,140],"determine":[88,143],"initial":[90,145],"probabilities":[91],"hidden":[93],"states":[94],"using":[95],"small":[97],"number":[98],"measurements.":[101],"An":[102],"arrival":[103],"probability":[104,115],"computed":[106],"each":[108],"past":[109,118],"measurement,":[111],"which":[112],"indicates":[113],"that":[116,135],"measurement":[120],"will":[121],"arrive":[122],"at":[123],"road":[125,146],"segment":[126,147],"within":[127],"initialization":[129,139],"duration.":[130],"experimental":[132],"results":[133],"show":[134],"proposed":[137],"effectively":[142],"compared":[148],"with":[149],"traditional":[151],"HMM-based":[152],"increase":[156],"accuracy":[158],"map-matching.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}