{"id":"https://openalex.org/W4393372068","doi":"https://doi.org/10.1109/tkde.2024.3383881","title":"DMM: A Deep Reinforcement Learning Based Map Matching Framework for Cellular Data","display_name":"DMM: A Deep Reinforcement Learning Based Map Matching Framework for Cellular Data","publication_year":2024,"publication_date":"2024-04-01","ids":{"openalex":"https://openalex.org/W4393372068","doi":"https://doi.org/10.1109/tkde.2024.3383881"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2024.3383881","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2024.3383881","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-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/A5020917990","display_name":"Zhihao Shen","orcid":"https://orcid.org/0000-0002-8389-3988"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihao Shen","raw_affiliation_strings":["School of Cyber Science and Engineering, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-8389-3988","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087322305","display_name":"Kang Yang","orcid":"https://orcid.org/0000-0001-8248-4894"},"institutions":[{"id":"https://openalex.org/I156087764","display_name":"University of California, Merced","ror":"https://ror.org/00d9ah105","country_code":"US","type":"education","lineage":["https://openalex.org/I156087764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kang Yang","raw_affiliation_strings":["Department of Computer Science and Engineering, University of California, Merced, CA, USA"],"raw_orcid":"https://orcid.org/0000-0001-8248-4894","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of California, Merced, CA, USA","institution_ids":["https://openalex.org/I156087764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044233783","display_name":"Xi Zhao","orcid":"https://orcid.org/0000-0001-9983-6366"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Zhao","raw_affiliation_strings":["School of Management, Xi'an Jiaotong University, Xi'an, China","Key Lab of the Ministry of Education for process control & Efficiency Egineering, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-9983-6366","affiliations":[{"raw_affiliation_string":"School of Management, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Key Lab of the Ministry of Education for process control & Efficiency Egineering, Xi'an, China","institution_ids":["https://openalex.org/I1327237609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103277719","display_name":"Jianhua Zou","orcid":"https://orcid.org/0000-0003-1632-4758"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Zou","raw_affiliation_strings":["School of Electronic and Information Engineering, Xi'an Jiaotong University, Guangdong Xi'an Jiaotong University Academy, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-1632-4758","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Xi'an Jiaotong University, Guangdong Xi'an Jiaotong University Academy, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101915919","display_name":"Wan Du","orcid":"https://orcid.org/0000-0003-2057-2885"},"institutions":[{"id":"https://openalex.org/I156087764","display_name":"University of California, Merced","ror":"https://ror.org/00d9ah105","country_code":"US","type":"education","lineage":["https://openalex.org/I156087764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wan Du","raw_affiliation_strings":["Department of Computer Science and Engineering, University of California, Merced, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-2057-2885","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of California, Merced, CA, USA","institution_ids":["https://openalex.org/I156087764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035293475","display_name":"Junjie Wu","orcid":"https://orcid.org/0000-0001-7650-3657"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjie Wu","raw_affiliation_strings":["School of Economics and Management, Beihang University, Beijing, China","Beijing Key Laboratory of Emergency Support Simulation Technologies for City Operations, and MoE Key Labora- tory of Complex System Analysis and Management Decision, Beihang University, China"],"raw_orcid":"https://orcid.org/0000-0001-7650-3657","affiliations":[{"raw_affiliation_string":"School of Economics and Management, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Beijing Key Laboratory of Emergency Support Simulation Technologies for City Operations, and MoE Key Labora- tory of Complex System Analysis and Management Decision, Beihang University, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.3962,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.92752163,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"36","issue":"10","first_page":"5120","last_page":"5137"},"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":0.998199999332428,"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":0.998199999332428,"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/T10575","display_name":"Wireless Communication Networks Research","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9675999879837036,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8222818374633789},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7517204284667969},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5663759708404541},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.48288869857788086},{"id":"https://openalex.org/keywords/map-matching","display_name":"Map matching","score":0.4147935211658478}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8222818374633789},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7517204284667969},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5663759708404541},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.48288869857788086},{"id":"https://openalex.org/C2778559875","wikidata":"https://www.wikidata.org/wiki/Q1892023","display_name":"Map matching","level":3,"score":0.4147935211658478},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2024.3383881","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2024.3383881","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1566585832","https://openalex.org/W1809720746","https://openalex.org/W1964717191","https://openalex.org/W1979182502","https://openalex.org/W1986293832","https://openalex.org/W1991133427","https://openalex.org/W1996573126","https://openalex.org/W2064675550","https://openalex.org/W2093651920","https://openalex.org/W2100378013","https://openalex.org/W2100495367","https://openalex.org/W2101728483","https://openalex.org/W2112352770","https://openalex.org/W2119717200","https://openalex.org/W2121863487","https://openalex.org/W2128728535","https://openalex.org/W2135822894","https://openalex.org/W2160750371","https://openalex.org/W2166771065","https://openalex.org/W2339065330","https://openalex.org/W2496015346","https://openalex.org/W2509958697","https://openalex.org/W2523277101","https://openalex.org/W2531032022","https://openalex.org/W2585773957","https://openalex.org/W2735039195","https://openalex.org/W2749061957","https://openalex.org/W2751694342","https://openalex.org/W2768256553","https://openalex.org/W2783032257","https://openalex.org/W2886287742","https://openalex.org/W2898404473","https://openalex.org/W2901328414","https://openalex.org/W2919295905","https://openalex.org/W2941717673","https://openalex.org/W2950635152","https://openalex.org/W2965914233","https://openalex.org/W2982519817","https://openalex.org/W2988035443","https://openalex.org/W2988138047","https://openalex.org/W3002652589","https://openalex.org/W3006464217","https://openalex.org/W3113257154","https://openalex.org/W3174200418","https://openalex.org/W4252907996","https://openalex.org/W6636268392","https://openalex.org/W6679436768","https://openalex.org/W6685322675","https://openalex.org/W6766253231"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2369446480","https://openalex.org/W2364521460","https://openalex.org/W2385361142","https://openalex.org/W2104082983","https://openalex.org/W2358919855","https://openalex.org/W2023784850","https://openalex.org/W2056465299","https://openalex.org/W1987769520"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,15,22,25,80,96,103,115,124,133,160,180],"novel":[4],"map":[5,14,85,151,174,190],"matching":[6,29,86,152,175,191],"framework":[7,87],"that":[8,60,186],"adopts":[9,95],"deep":[10,81],"learning":[11,83,105,164],"techniques":[12],"to":[13,21,63,107],"sequence":[16,116],"of":[17,112,117,135,140,171],"cell":[18,118,142],"tower":[19,143],"locations":[20],"trajectory":[23,111],"on":[24,52,179],"road":[26],"network.":[27],"Map":[28],"is":[30],"an":[31,145],"essential":[32],"pre-processing":[33],"step":[34],"for":[35,88,150,167],"many":[36],"applications,":[37],"such":[38],"as":[39,92],"traffic":[40],"optimization":[41],"and":[42,157,159,193],"human":[43],"mobility":[44],"analysis.":[45],"However,":[46],"most":[47],"recent":[48],"approaches":[49],"are":[50,61,129],"based":[51,84,147,165],"hidden":[53],"Markov":[54],"models":[55],"(HMMs)":[56],"or":[57,68],"neural":[58,98],"networks":[59],"hard":[62],"consider":[64],"high-order":[65],"location":[66],"information":[67],"heuristics":[69],"observed":[70],"from":[71],"real":[72],"driving":[73],"scenarios.":[74],"In":[75],"this":[76],"paper,":[77],"we":[78],"develop":[79],"reinforcement":[82,104,163],"cellular":[89,183],"data,":[90],"named":[91],"DMM,":[93],"which":[94],"recurrent":[97],"network":[99,149],"(RNN)":[100],"coupled":[101],"with":[102,154],"scheme":[106,166],"identify":[108],"the":[109,169,172],"most-likely":[110],"roads":[113],"given":[114],"towers.":[119],"To":[120],"transform":[121],"DMM":[122,187],"into":[123],"practical":[125],"system,":[126],"several":[127],"challenges":[128],"addressed":[130],"by":[131],"developing":[132],"set":[134],"techniques,":[136],"including":[137],"spatial-aware":[138],"representation":[139],"input":[141,156],"sequences,":[144],"encoder-decoder":[146,173],"RNN":[148],"model":[153],"variable-length":[155],"output,":[158],"global":[161],"heuristics-driven":[162],"optimizing":[168],"parameters":[170],"model.":[176],"Extensive":[177],"experiments":[178],"large-scale":[181],"anonymized":[182],"dataset":[184],"reveal":[185],"provides":[188],"high":[189],"accuracy":[192],"fast":[194],"inference":[195],"time.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}