{"id":"https://openalex.org/W2973580673","doi":"https://doi.org/10.1109/access.2019.2942586","title":"Geospatial Modeling of Road Traffic Using a Semi-Supervised Regression Algorithm","display_name":"Geospatial Modeling of Road Traffic Using a Semi-Supervised Regression Algorithm","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2973580673","doi":"https://doi.org/10.1109/access.2019.2942586","mag":"2973580673"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2942586","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2942586","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08845592.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08845592.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060896375","display_name":"Magdalena Salda\u00f1a-P\u00e9rez","orcid":"https://orcid.org/0000-0002-2475-1621"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Magdalena Saldana-Perez","raw_affiliation_strings":["Instituto Polit&#x00E9;cnico Nacional, CIC, Mexico City, Mexico"],"affiliations":[{"raw_affiliation_string":"Instituto Polit&#x00E9;cnico Nacional, CIC, Mexico City, Mexico","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075917206","display_name":"Miguel Torres-Ruiz","orcid":"https://orcid.org/0000-0001-8289-6979"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Miguel Torres-Ruiz","raw_affiliation_strings":["Instituto Polit&#x00E9;cnico Nacional, CIC, Mexico City, Mexico"],"affiliations":[{"raw_affiliation_string":"Instituto Polit&#x00E9;cnico Nacional, CIC, Mexico City, Mexico","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090210561","display_name":"Marco Moreno-Ibarra","orcid":"https://orcid.org/0000-0002-0349-5585"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marco Moreno-Ibarra","raw_affiliation_strings":["Instituto Polit&#x00E9;cnico Nacional, CIC, Mexico City, Mexico"],"affiliations":[{"raw_affiliation_string":"Instituto Polit&#x00E9;cnico Nacional, CIC, Mexico City, Mexico","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5060896375"],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.8313,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.86073834,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"177376","last_page":"177386"},"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":0.993399977684021,"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":0.993399977684021,"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":0.9933000206947327,"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9739000201225281,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.7971199750900269},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7462771534919739},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.7195373773574829},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.663942813873291},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5321471095085144},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5131385922431946},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5004665851593018},{"id":"https://openalex.org/keywords/floating-car-data","display_name":"Floating car data","score":0.42552223801612854},{"id":"https://openalex.org/keywords/urban-computing","display_name":"Urban computing","score":0.4251898229122162},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4195678234100342},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.34379687905311584},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.30059099197387695},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21924754977226257},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.19700521230697632},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11668789386749268}],"concepts":[{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.7971199750900269},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7462771534919739},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.7195373773574829},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.663942813873291},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5321471095085144},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5131385922431946},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5004665851593018},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.42552223801612854},{"id":"https://openalex.org/C2778459138","wikidata":"https://www.wikidata.org/wiki/Q7900107","display_name":"Urban computing","level":2,"score":0.4251898229122162},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4195678234100342},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.34379687905311584},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30059099197387695},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21924754977226257},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.19700521230697632},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11668789386749268},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2942586","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2942586","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08845592.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6637f57a638c4e469273bfa73e27e67c","is_oa":true,"landing_page_url":"https://doaj.org/article/6637f57a638c4e469273bfa73e27e67c","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 177376-177386 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2942586","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2942586","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08845592.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Responsible consumption and production","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/12"}],"awards":[{"id":"https://openalex.org/G5802954249","display_name":null,"funder_award_id":"B140563","funder_id":"https://openalex.org/F4320325593","funder_display_name":"Consejo Nacional de Innovaci\u00f3n, Ciencia y Tecnolog\u00eda"},{"id":"https://openalex.org/G7429267829","display_name":null,"funder_award_id":"20196338","funder_id":"https://openalex.org/F4320324201","funder_display_name":"Secretar\u00eda de Investigaci\u00f3n y Posgrado, Instituto Polit\u00e9cnico Nacional"}],"funders":[{"id":"https://openalex.org/F4320321694","display_name":"Instituto Polit\u00e9cnico Nacional","ror":"https://ror.org/059sp8j34"},{"id":"https://openalex.org/F4320321739","display_name":"Consejo Nacional de Ciencia y Tecnolog\u00eda","ror":"https://ror.org/059ex5q34"},{"id":"https://openalex.org/F4320324201","display_name":"Secretar\u00eda de Investigaci\u00f3n y Posgrado, Instituto Polit\u00e9cnico Nacional","ror":"https://ror.org/059sp8j34"},{"id":"https://openalex.org/F4320325593","display_name":"Consejo Nacional de Innovaci\u00f3n, Ciencia y Tecnolog\u00eda","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2973580673.pdf","grobid_xml":"https://content.openalex.org/works/W2973580673.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1944672","https://openalex.org/W1482684349","https://openalex.org/W1503705371","https://openalex.org/W1588071140","https://openalex.org/W1663973292","https://openalex.org/W1995751996","https://openalex.org/W2018277822","https://openalex.org/W2050973768","https://openalex.org/W2051004228","https://openalex.org/W2101234009","https://openalex.org/W2102041666","https://openalex.org/W2111700869","https://openalex.org/W2119821739","https://openalex.org/W2137792980","https://openalex.org/W2142292167","https://openalex.org/W2152878241","https://openalex.org/W2165442870","https://openalex.org/W2299239789","https://openalex.org/W2308884720","https://openalex.org/W2374172760","https://openalex.org/W2546417593","https://openalex.org/W2762644836","https://openalex.org/W2786279525","https://openalex.org/W2799055157","https://openalex.org/W2893620665","https://openalex.org/W2934734939","https://openalex.org/W2943857514","https://openalex.org/W2944352598","https://openalex.org/W2955551573","https://openalex.org/W2963433607","https://openalex.org/W3099185017","https://openalex.org/W3159649695","https://openalex.org/W4212863985","https://openalex.org/W4239510810","https://openalex.org/W4250906960","https://openalex.org/W6630094177","https://openalex.org/W6675354045","https://openalex.org/W6684253257"],"related_works":["https://openalex.org/W2005409769","https://openalex.org/W4386289889","https://openalex.org/W2945875309","https://openalex.org/W2954450070","https://openalex.org/W3117279048","https://openalex.org/W4389949262","https://openalex.org/W4391811515","https://openalex.org/W2898775471","https://openalex.org/W4385779953","https://openalex.org/W2972320057"],"abstract_inverted_index":{"Nowadays,":[0],"big":[1],"cities":[2,22],"are":[3,23,160],"facing":[4],"many":[5],"challenges":[6],"with":[7,36,88],"respect":[8],"to":[9,25,44,60,132,149,168],"traffic":[10,63,90,109,136,156],"congestion,":[11],"climate":[12],"change,":[13],"air":[14],"and":[15,41,48,173,179],"water":[16],"pollution,":[17],"among":[18],"others.":[19],"Thus,":[20],"smart":[21],"intended":[24],"improve":[26],"the":[27,31,37,46,62,81,89,108,123,139,143,155,170],"life":[28],"quality":[29],"of":[30,39,53,97],"citizens,":[32],"tackling":[33],"such":[34],"issues":[35],"integration":[38],"information":[40,175],"communication":[42],"technologies":[43],"reduce":[45],"impact":[47],"achieve":[49],"a":[50,58,66,75,104,115,127],"well-being":[51],"state":[52],"citizens.":[54],"In":[55,73],"this":[56,98],"work,":[57],"model":[59],"predict":[61],"congestion":[64,110],"applying":[65],"support":[67],"vector":[68],"machine":[69],"method":[70],"is":[71,91,100],"proposed.":[72,93],"addition,":[74],"crowdsourcing":[76],"approach":[77,119,172],"based":[78],"on":[79,102],"mining":[80],"Twitter":[82],"social":[83],"networks":[84],"collecting":[85],"events":[86,137],"associated":[87],"also":[92],"The":[94],"main":[95],"contribution":[96],"research":[99],"focused":[101],"providing":[103],"methodology":[105],"that":[106],"characterizes":[107],"analyzing":[111],"crowd-sensed":[112],"data":[113],"from":[114,176],"geospatial":[116],"perspective.":[117],"This":[118],"was":[120],"implemented":[121],"over":[122],"Mexico":[124],"City":[125],"as":[126],"case":[128],"study,":[129],"in":[130,138,141,166],"order":[131,167],"forecast":[133],"possible":[134],"future":[135],"city,":[140],"which":[142],"citizens":[144],"share":[145],"their":[146],"particular":[147],"situation":[148],"discover":[150],"alternatives":[151],"routes":[152],"for":[153],"avoiding":[154],"congestion.":[157],"Future":[158],"works":[159],"oriented":[161],"towards":[162],"designing":[163],"mobile":[164],"applications":[165],"introduce":[169],"proposed":[171],"integrate":[174],"multiple":[177],"platforms":[178],"navigation":[180],"systems.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
