{"id":"https://openalex.org/W3154625234","doi":"https://doi.org/10.1145/3446999.3447017","title":"A map matching method for restoring movement routes with cellular signaling data","display_name":"A map matching method for restoring movement routes with cellular signaling data","publication_year":2020,"publication_date":"2020-12-25","ids":{"openalex":"https://openalex.org/W3154625234","doi":"https://doi.org/10.1145/3446999.3447017","mag":"3154625234"},"language":"en","primary_location":{"id":"doi:10.1145/3446999.3447017","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3446999.3447017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 8th International Conference on Information Technology: IoT and Smart City","raw_type":"proceedings-article"},"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/A5004013019","display_name":"Mo Wang","orcid":"https://orcid.org/0000-0002-8541-9059"},"institutions":[{"id":"https://openalex.org/I4210138501","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mo Wang","raw_affiliation_strings":["Chinese Academy of Agricultural Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Agricultural Sciences, China","institution_ids":["https://openalex.org/I4210138501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100378660","display_name":"Jing Wang","orcid":"https://orcid.org/0000-0003-1624-9508"},"institutions":[{"id":"https://openalex.org/I4210108204","display_name":"China Electronic Information Industry Development","ror":"https://ror.org/01mbbxx50","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210108204","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Wang","raw_affiliation_strings":["China Center for Information Industry Development, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Center for Information Industry Development, China","institution_ids":["https://openalex.org/I4210108204"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038585039","display_name":"Yulun Song","orcid":null},"institutions":[{"id":"https://openalex.org/I6507939","display_name":"China United Network Communications Group (China)","ror":"https://ror.org/028w99c90","country_code":"CN","type":"company","lineage":["https://openalex.org/I6507939"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulun Song","raw_affiliation_strings":["China Unicom Big Data Co. Ltd, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Unicom Big Data Co. Ltd, China","institution_ids":["https://openalex.org/I6507939"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"94","last_page":"99"},"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":0.9995999932289124,"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":0.9995999932289124,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9983000159263611,"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/T11106","display_name":"Data Management and Algorithms","score":0.9973000288009644,"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/computer-science","display_name":"Computer science","score":0.7422447800636292},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.7176080942153931},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7073622345924377},{"id":"https://openalex.org/keywords/dbscan","display_name":"DBSCAN","score":0.6672243475914001},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6416099071502686},{"id":"https://openalex.org/keywords/map-matching","display_name":"Map matching","score":0.5399567484855652},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.4923762083053589},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41563132405281067},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.41494932770729065},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37303030490875244},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2779870629310608},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13780158758163452},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.12277096509933472},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.11199951171875},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.10661488771438599}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7422447800636292},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7176080942153931},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7073622345924377},{"id":"https://openalex.org/C46576248","wikidata":"https://www.wikidata.org/wiki/Q1114630","display_name":"DBSCAN","level":5,"score":0.6672243475914001},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6416099071502686},{"id":"https://openalex.org/C2778559875","wikidata":"https://www.wikidata.org/wiki/Q1892023","display_name":"Map matching","level":3,"score":0.5399567484855652},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.4923762083053589},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41563132405281067},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.41494932770729065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37303030490875244},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2779870629310608},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13780158758163452},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.12277096509933472},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.11199951171875},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.10661488771438599},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3446999.3447017","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3446999.3447017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 8th International Conference on Information Technology: IoT and Smart City","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W25746047","https://openalex.org/W1530419379","https://openalex.org/W1971022913","https://openalex.org/W1998505617","https://openalex.org/W2006317032","https://openalex.org/W2011282943","https://openalex.org/W2045922748","https://openalex.org/W2078448683","https://openalex.org/W2108432893","https://openalex.org/W2160957611","https://openalex.org/W2161316780","https://openalex.org/W2165666226","https://openalex.org/W2169528473","https://openalex.org/W2549516584","https://openalex.org/W2766901642","https://openalex.org/W3098098882"],"related_works":["https://openalex.org/W3176449234","https://openalex.org/W2353158678","https://openalex.org/W2767235736","https://openalex.org/W4225278791","https://openalex.org/W2045002201","https://openalex.org/W2971352445","https://openalex.org/W4322502698","https://openalex.org/W2364521460","https://openalex.org/W2385361142","https://openalex.org/W2104082983"],"abstract_inverted_index":{"Cellular":[0],"signaling":[1,22],"data":[2,8,23,101],"is":[3],"a":[4,43,72],"valuable":[5],"and":[6,112],"abundant":[7],"source":[9],"to":[10,17,25,51,60,89,146],"explore":[11],"human":[12],"mobility.":[13],"Yet":[14],"challenges":[15],"remain":[16],"restore":[18],"movement":[19],"routes":[20,94],"from":[21],"due":[24],"its":[26],"coarse":[27],"positioning":[28],"information.":[29],"We":[30],"propose":[31],"an":[32],"efficient":[33],"map":[34,108],"matching":[35,93,109],"method":[36,118,129],"based":[37],"on":[38,99],"road":[39],"network":[40],"topology.":[41],"First,":[42],"customized":[44],"spatial-temporal":[45],"clustering":[46],"algorithm":[47],"ST-DBSCAN":[48],"was":[49,68],"employed":[50],"find":[52,90],"stationary":[53],"point":[54],"clusters,":[55],"which":[56],"were":[57,87],"later":[58],"used":[59],"segment":[61],"trips":[62],"into":[63],"sub-trips.":[64],"The":[65,127],"search":[66],"space":[67],"then":[69],"clipped":[70],"with":[71,95,123,148],"fixed":[73],"buffer":[74],"zone":[75],"along":[76],"the":[77,81,91,117,131,138],"line":[78],"that":[79,103,140],"connects":[80],"whole":[82],"trip.":[83],"Two":[84],"optional":[85],"strategies":[86,105],"provided":[88],"best":[92],"distance":[96],"costs.":[97],"Experiments":[98],"real-world":[100],"showed":[102],"both":[104],"achieved":[106],"high":[107],"accuracies":[110],"(88.2%":[111],"94.3%).":[113],"With":[114],"Deep":[115],"Mode,":[116],"reached":[119],"higher":[120],"accuracy,":[121],"while":[122],"longer":[124],"computation":[125],"time.":[126],"proposed":[128],"has":[130],"potential":[132],"in":[133,137],"solving":[134],"practical":[135],"problems,":[136],"sense":[139],"it":[141],"could":[142],"be":[143],"easily":[144],"parallelized":[145],"deal":[147],"mass":[149],"data.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
