{"id":"https://openalex.org/W4401720575","doi":"https://doi.org/10.1109/icicos62600.2024.10636860","title":"Mobility Prediction Using Markov Models: A Survey","display_name":"Mobility Prediction Using Markov Models: A Survey","publication_year":2024,"publication_date":"2024-07-17","ids":{"openalex":"https://openalex.org/W4401720575","doi":"https://doi.org/10.1109/icicos62600.2024.10636860"},"language":"en","primary_location":{"id":"doi:10.1109/icicos62600.2024.10636860","doi":"https://doi.org/10.1109/icicos62600.2024.10636860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icicos62600.2024.10636860","pdf_url":null,"source":{"id":"https://openalex.org/S7407086313","display_name":"International Conference on Informatics and Computational Sciences (ICICoS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Informatics and Computational Sciences (ICICoS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5025997590","display_name":"Ragil Saputra","orcid":"https://orcid.org/0000-0003-2732-2037","observed_orcids":["https://orcid.org/0000-0003-2732-2037"]},"institutions":[{"id":"https://openalex.org/I11855966","display_name":"Diponegoro University","ror":"https://ror.org/056bjta22","country_code":"ID","type":"education","lineage":["https://openalex.org/I11855966"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Ragil Saputra","raw_affiliation_strings":["Universitas Diponegoro,Department of Computer Science,Semarang,Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Diponegoro,Department of Computer Science,Semarang,Indonesia","institution_ids":["https://openalex.org/I11855966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100736782","display_name":"Suprapto Suprapto","orcid":"https://orcid.org/0000-0002-2466-523X","observed_orcids":["https://orcid.org/0000-0002-2466-523X"]},"institutions":[{"id":"https://openalex.org/I165230279","display_name":"Universitas Gadjah Mada","ror":"https://ror.org/03ke6d638","country_code":"ID","type":"education","lineage":["https://openalex.org/I165230279"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Suprapto","raw_affiliation_strings":["Universitas Gadjah Mada,Department of Computer Science and Electronics,Yogyakarta,Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Gadjah Mada,Department of Computer Science and Electronics,Yogyakarta,Indonesia","institution_ids":["https://openalex.org/I165230279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046242495","display_name":"Agus Sihabuddin","orcid":"https://orcid.org/0000-0001-5308-7857","observed_orcids":["https://orcid.org/0000-0001-5308-7857"]},"institutions":[{"id":"https://openalex.org/I165230279","display_name":"Universitas Gadjah Mada","ror":"https://ror.org/03ke6d638","country_code":"ID","type":"education","lineage":["https://openalex.org/I165230279"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Agus Sihabuddin","raw_affiliation_strings":["Universitas Gadjah Mada,Department of Computer Science and Electronics,Yogyakarta,Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Gadjah Mada,Department of Computer Science and Electronics,Yogyakarta,Indonesia","institution_ids":["https://openalex.org/I165230279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.0714,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.96008403,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"508","last_page":"513"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9726999998092651,"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"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9726999998092651,"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":0.013199999928474426,"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"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.010700000450015068,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/human-mobility-prediction","display_name":"human mobility prediction","score":0.9879999756813049},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.9750000238418579},{"id":"https://openalex.org/keywords/hidden-markov-models","display_name":"hidden Markov models","score":0.9739999771118164},{"id":"https://openalex.org/keywords/gps-tracking","display_name":"GPS tracking","score":0.5929999947547913},{"id":"https://openalex.org/keywords/social-media-check-ins","display_name":"social media check-ins","score":0.9430000185966492},{"id":"https://openalex.org/keywords/data-sparsity","display_name":"data sparsity","score":0.8220000267028809},{"id":"https://openalex.org/keywords/computational-efficiency","display_name":"computational efficiency","score":0.6679999828338623},{"id":"https://openalex.org/keywords/urban-planning","display_name":"urban planning","score":0.8529999852180481},{"id":"https://openalex.org/keywords/traffic-engineering","display_name":"traffic engineering","score":0.7490000128746033},{"id":"https://openalex.org/keywords/transportation-systems","display_name":"transport systems","score":0.8700000047683716}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6646193861961365},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.49979114532470703},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.44645535945892334},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29885154962539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icicos62600.2024.10636860","doi":"https://doi.org/10.1109/icicos62600.2024.10636860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icicos62600.2024.10636860","pdf_url":null,"source":{"id":"https://openalex.org/S7407086313","display_name":"International Conference on Informatics and Computational Sciences (ICICoS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Informatics and Computational Sciences (ICICoS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7250000238418579,"display_name":"Sustainable cities and communities"}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W175949952","https://openalex.org/W1882303714","https://openalex.org/W1964461063","https://openalex.org/W1973210193","https://openalex.org/W1995407638","https://openalex.org/W2003257780","https://openalex.org/W2009155608","https://openalex.org/W2017392740","https://openalex.org/W2060538947","https://openalex.org/W2067261106","https://openalex.org/W2084835622","https://openalex.org/W2109182426","https://openalex.org/W2125344207","https://openalex.org/W2126194848","https://openalex.org/W2133522940","https://openalex.org/W2171267091","https://openalex.org/W2255845836","https://openalex.org/W2339065330","https://openalex.org/W2345172924","https://openalex.org/W2480911263","https://openalex.org/W2504114525","https://openalex.org/W2520225835","https://openalex.org/W2523438800","https://openalex.org/W2541707852","https://openalex.org/W2566482757","https://openalex.org/W2585773957","https://openalex.org/W2606407262","https://openalex.org/W2617433426","https://openalex.org/W2617955281","https://openalex.org/W2753140366","https://openalex.org/W2753595129","https://openalex.org/W2765995987","https://openalex.org/W2771640620","https://openalex.org/W2783344919","https://openalex.org/W2788029981","https://openalex.org/W2791647856","https://openalex.org/W2807957939","https://openalex.org/W2808008183","https://openalex.org/W2906276361","https://openalex.org/W2924884138","https://openalex.org/W2952297987","https://openalex.org/W2982516897","https://openalex.org/W3001359154","https://openalex.org/W3004617047","https://openalex.org/W3004881027","https://openalex.org/W3015182559","https://openalex.org/W3108542629","https://openalex.org/W3118696187","https://openalex.org/W3173650575","https://openalex.org/W3178576274","https://openalex.org/W3200329677","https://openalex.org/W3210012051","https://openalex.org/W4214612842","https://openalex.org/W4281830011","https://openalex.org/W4316076965","https://openalex.org/W4362619431","https://openalex.org/W4381572342","https://openalex.org/W4387527272","https://openalex.org/W4389276193","https://openalex.org/W4391823018","https://openalex.org/W6731786745"],"related_works":["https://openalex.org/W3012529204","https://openalex.org/W4394660424","https://openalex.org/W4414915097","https://openalex.org/W3012212682","https://openalex.org/W4393937918","https://openalex.org/W2982993163","https://openalex.org/W3161756478","https://openalex.org/W2945319864","https://openalex.org/W1936264711","https://openalex.org/W1970750221"],"abstract_inverted_index":{"This":[0],"comprehensive":[1],"review":[2],"critically":[3],"examines":[4],"the":[5,28,73,79,111],"pressing":[6],"need":[7],"for":[8,16],"accurate":[9],"human":[10],"mobility":[11,114],"prediction,":[12],"which":[13],"is":[14],"essential":[15],"urban":[17],"planning,":[18],"traffic":[19],"engineering,":[20],"and":[21,32,99,102],"transportation":[22],"systems.":[23],"The":[24],"study":[25],"focuses":[26],"on":[27,43],"data":[29,56,87,96],"modeling":[30],"capabilities":[31],"predictive":[33],"accuracy":[34,112],"of":[35,55,81,113],"Markov-based":[36],"model":[37],"algorithms,":[38],"with":[39],"a":[40,53],"special":[41],"emphasis":[42],"Hidden":[44],"Markov":[45],"Models":[46],"(HMMs).":[47],"It":[48],"explores":[49],"their":[50],"applications":[51],"across":[52],"variety":[54],"types,":[57],"ranging":[58],"from":[59,72],"sporadic":[60],"social":[61],"media":[62],"check-ins":[63],"to":[64],"continuous":[65],"GPS":[66],"tracking.":[67],"By":[68],"synthesizing":[69],"research":[70,105],"studies":[71],"past":[74],"decade,":[75],"this":[76],"paper":[77],"assesses":[78],"effectiveness":[80],"these":[82],"methodologies":[83],"in":[84],"handling":[85],"diverse":[86],"forms.":[88],"Furthermore,":[89],"it":[90],"addresses":[91],"significant":[92],"challenges":[93],"such":[94],"as":[95],"sparsity,":[97],"accuracy,":[98],"computational":[100],"efficiency,":[101],"discusses":[103],"future":[104],"directions":[106],"that":[107],"could":[108],"potentially":[109],"enhance":[110],"predictions.":[115]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2024-08-22T00:00:00"}
