{"id":"https://openalex.org/W2565496737","doi":"https://doi.org/10.1109/itsc.2016.7795788","title":"DMM: A distributed map-matching algorithm using the MapReduce paradigm","display_name":"DMM: A distributed map-matching algorithm using the MapReduce paradigm","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2565496737","doi":"https://doi.org/10.1109/itsc.2016.7795788","mag":"2565496737"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2016.7795788","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2016.7795788","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)","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/A5076218436","display_name":"Antonio M. R. Almeida","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Antonio M. R. Almeida","raw_affiliation_strings":["Computing Science Department, Universidade Federal do Cear&#x00E1;, Brazil"],"affiliations":[{"raw_affiliation_string":"Computing Science Department, Universidade Federal do Cear&#x00E1;, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079116594","display_name":"Maria I. V. Lima","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maria I. V. Lima","raw_affiliation_strings":["Computing Science Department, Universidade Federal do Cear&#x00E1;, Brazil"],"affiliations":[{"raw_affiliation_string":"Computing Science Department, Universidade Federal do Cear&#x00E1;, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065118727","display_name":"Jos\u00e9 Ant\u00f4nio Fernandes de Mac\u00eado","orcid":"https://orcid.org/0000-0002-0661-2978"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jose A. F. Macedo","raw_affiliation_strings":["Computing Science Department, Universidade Federal do Cear&#x00E1;, Brazil"],"affiliations":[{"raw_affiliation_string":"Computing Science Department, Universidade Federal do Cear&#x00E1;, Brazil","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064422885","display_name":"Javam C. Machado","orcid":"https://orcid.org/0000-0002-8430-9421"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Javam C. Machado","raw_affiliation_strings":["Computing Science Department, Universidade Federal do Cear&#x00E1;, Brazil"],"affiliations":[{"raw_affiliation_string":"Computing Science Department, Universidade Federal do Cear&#x00E1;, Brazil","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5076218436"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2753,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81993777,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1706","last_page":"1711"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9997000098228455,"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":0.9988999962806702,"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/T11719","display_name":"Data Quality and Management","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision 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":0.8122067451477051},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8044087886810303},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7475743889808655},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.6129325032234192},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6025362610816956},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5856502056121826},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5266302227973938},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.5229864120483398},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49521198868751526},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.4721873998641968},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.44946178793907166},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4324352741241455},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32484835386276245},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.16270223259925842},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11930811405181885},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.08338245749473572},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07660838961601257}],"concepts":[{"id":"https://openalex.org/C2778559875","wikidata":"https://www.wikidata.org/wiki/Q1892023","display_name":"Map matching","level":3,"score":0.8122067451477051},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8044087886810303},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7475743889808655},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.6129325032234192},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6025362610816956},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5856502056121826},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5266302227973938},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.5229864120483398},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49521198868751526},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.4721873998641968},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.44946178793907166},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4324352741241455},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32484835386276245},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.16270223259925842},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11930811405181885},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.08338245749473572},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07660838961601257},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2016.7795788","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2016.7795788","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320323202","display_name":"Funda\u00e7\u00e3o Cearense de Apoio ao Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/007pgtp80"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W61655661","https://openalex.org/W119332707","https://openalex.org/W1458652123","https://openalex.org/W1514900972","https://openalex.org/W1977842749","https://openalex.org/W1982003698","https://openalex.org/W2067828570","https://openalex.org/W2075123554","https://openalex.org/W2084634989","https://openalex.org/W2090227767","https://openalex.org/W2104432166","https://openalex.org/W2131975293","https://openalex.org/W2156279557","https://openalex.org/W2160085675","https://openalex.org/W2166771065","https://openalex.org/W2189465200","https://openalex.org/W2401054706","https://openalex.org/W3103910758","https://openalex.org/W6602488510","https://openalex.org/W6630675754","https://openalex.org/W6675430571","https://openalex.org/W6679815717","https://openalex.org/W6687322159"],"related_works":["https://openalex.org/W2369446480","https://openalex.org/W3162200841","https://openalex.org/W1975949872","https://openalex.org/W3159871278","https://openalex.org/W2230552005","https://openalex.org/W2586280620","https://openalex.org/W2370431274","https://openalex.org/W3010912586","https://openalex.org/W2187159411","https://openalex.org/W2045922748"],"abstract_inverted_index":{"Map-matching":[0],"is":[1,72],"the":[2,13,22,88,98,114],"problem":[3],"consisting":[4],"of":[5,9,31,49],"matching":[6],"a":[7,16,46,56,84],"sequence":[8],"geographic":[10],"coordinates":[11],"with":[12],"roads":[14],"on":[15,42,74,97],"digital":[17],"map,":[18],"aiming":[19],"to":[20,81],"discover":[21],"actual":[23],"path":[24],"traveled":[25],"by":[26],"that":[27,113],"trajectory.":[28],"Common":[29],"uses":[30],"map-matching":[32],"include":[33],"traffic":[34],"analysis":[35],"and":[36,64,79,102,120,122],"flow":[37],"density":[38],"extraction,":[39],"which":[40],"rely":[41,96],"such":[43],"algorithms":[44],"as":[45],"primary":[47],"stage":[48],"their":[50],"processing.":[51],"Here":[52],"we":[53,94],"present":[54],"DMM,":[55],"distributed":[57,85],"solution":[58,71],"for":[59,66,126],"large-scale":[60],"trajectory":[61,127],"data":[62,104,128],"processing":[63],"suitable":[65],"low-sampling-rate":[67],"GPS":[68],"trajectories.":[69],"This":[70],"based":[73],"another":[75],"low-sampling":[76],"algorithm":[77,116],"[1],":[78],"adapted":[80],"work":[82],"in":[83],"manner,":[86],"using":[87],"MapReduce":[89],"paradigm.":[90],"For":[91],"this":[92],"purpose,":[93],"heavily":[95],"Apache":[99],"Spark":[100],"framework":[101],"its":[103],"abstraction,":[105],"Resilient":[106],"Distributed":[107],"Datasets":[108],"(RDDs).":[109],"The":[110],"experiments":[111],"show":[112],"DMM":[115],"has":[117],"high":[118],"accuracy":[119],"scalability":[121],"can":[123],"be":[124],"used":[125],"streams.":[129]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
