{"id":"https://openalex.org/W2296704245","doi":"https://doi.org/10.1145/2820783.2820829","title":"Citywide traffic congestion estimation with social media","display_name":"Citywide traffic congestion estimation with social media","publication_year":2015,"publication_date":"2015-11-03","ids":{"openalex":"https://openalex.org/W2296704245","doi":"https://doi.org/10.1145/2820783.2820829","mag":"2296704245"},"language":"en","primary_location":{"id":"doi:10.1145/2820783.2820829","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2820783.2820829","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/2820783.2820829","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/2820783.2820829","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035708362","display_name":"Senzhang Wang","orcid":"https://orcid.org/0000-0002-3615-4859"},"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":true,"raw_author_name":"Senzhang Wang","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071709543","display_name":"Lifang He","orcid":"https://orcid.org/0000-0001-7810-9071"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lifang He","raw_affiliation_strings":["Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057573340","display_name":"Leon Stenneth","orcid":"https://orcid.org/0000-0001-7823-6214"},"institutions":[{"id":"https://openalex.org/I72090969","display_name":"Nokia (United States)","ror":"https://ror.org/038km2573","country_code":"US","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I72090969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Leon Stenneth","raw_affiliation_strings":["Nokia's HERE Connected Driving, Chicago, IL"],"affiliations":[{"raw_affiliation_string":"Nokia's HERE Connected Driving, Chicago, IL","institution_ids":["https://openalex.org/I72090969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036357902","display_name":"Philip S. Yu","orcid":"https://orcid.org/0000-0002-3491-5968"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philip S. Yu","raw_affiliation_strings":["University of Illinois at Chicago, Chicago, IL"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, IL","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036786337","display_name":"Zhoujun Li","orcid":"https://orcid.org/0000-0002-9603-9713"},"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":"Zhoujun Li","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5035708362"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":10.4726,"has_fulltext":true,"cited_by_count":79,"citation_normalized_percentile":{"value":0.98254371,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998999834060669,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9997000098228455,"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":0.9922999739646912,"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":0.7126514911651611},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.6379068493843079},{"id":"https://openalex.org/keywords/floating-car-data","display_name":"Floating car data","score":0.5837084054946899},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5766567587852478},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.4691663682460785},{"id":"https://openalex.org/keywords/traffic-congestion-reconstruction-with-kerners-three-phase-theory","display_name":"Traffic congestion reconstruction with Kerner's three-phase theory","score":0.444749653339386},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.4427200257778168},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.43560516834259033},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.4186493158340454},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34553325176239014},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3362567722797394},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1865094006061554},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14327970147132874},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11815306544303894}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7126514911651611},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.6379068493843079},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.5837084054946899},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5766567587852478},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4691663682460785},{"id":"https://openalex.org/C25492975","wikidata":"https://www.wikidata.org/wiki/Q960570","display_name":"Traffic congestion reconstruction with Kerner's three-phase theory","level":3,"score":0.444749653339386},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.4427200257778168},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.43560516834259033},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.4186493158340454},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34553325176239014},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3362567722797394},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1865094006061554},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14327970147132874},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11815306544303894},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2820783.2820829","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2820783.2820829","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/2820783.2820829","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/2820783.2820829","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2820783.2820829","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/2820783.2820829","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1133214765","display_name":null,"funder_award_id":"FY14-RES-OPP-105","funder_id":"https://openalex.org/F4320308943","funder_display_name":"Microsoft Research"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1363696916","display_name":null,"funder_award_id":"61370126","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2012332915","display_name":null,"funder_award_id":"61202239","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3338124625","display_name":null,"funder_award_id":"2015AA016004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3641085229","display_name":null,"funder_award_id":"61303017","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5071178787","display_name":null,"funder_award_id":"61170189","funder_id":"https://openalex.org/F4320326978","funder_display_name":"State Key Laboratory of Software Development Environment"},{"id":"https://openalex.org/G5326795619","display_name":null,"funder_award_id":"SKLSDE-2015ZX-16","funder_id":"https://openalex.org/F4320326978","funder_display_name":"State Key Laboratory of Software Development Environment"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6302867500","display_name":null,"funder_award_id":"CNS-1115234","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7316272470","display_name":null,"funder_award_id":"61170189, 61370126, 61202239","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7788506605","display_name":null,"funder_award_id":"61503253","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8138572713","display_name":null,"funder_award_id":"61170189","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8481564344","display_name":"TC: Small: Robust Anonymization on Social Networks","funder_award_id":"1115234","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320308943","display_name":"Microsoft Research","ror":"https://ror.org/00d0nc645"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326978","display_name":"State Key Laboratory of Software Development Environment","ror":null},{"id":"https://openalex.org/F4320328656","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959"},{"id":"https://openalex.org/F4320333993","display_name":"Microsoft Research Asia","ror":"https://ror.org/0300m5276"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2296704245.pdf","grobid_xml":"https://content.openalex.org/works/W2296704245.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1506285740","https://openalex.org/W1514578609","https://openalex.org/W1556664624","https://openalex.org/W1837913551","https://openalex.org/W1848830497","https://openalex.org/W1989597542","https://openalex.org/W1996543006","https://openalex.org/W2031674781","https://openalex.org/W2034258124","https://openalex.org/W2042281163","https://openalex.org/W2048250993","https://openalex.org/W2049176600","https://openalex.org/W2075192215","https://openalex.org/W2081798520","https://openalex.org/W2102937240","https://openalex.org/W2112738128","https://openalex.org/W2128415924","https://openalex.org/W2142015871","https://openalex.org/W2153458569","https://openalex.org/W2154206668","https://openalex.org/W2157521848","https://openalex.org/W2165178985","https://openalex.org/W2168791259","https://openalex.org/W2196947497","https://openalex.org/W2326063265","https://openalex.org/W6639029278"],"related_works":["https://openalex.org/W2972320057","https://openalex.org/W4386289889","https://openalex.org/W2945875309","https://openalex.org/W3117279048","https://openalex.org/W2898775471","https://openalex.org/W2565115916","https://openalex.org/W1669406372","https://openalex.org/W4389949262","https://openalex.org/W4286209918","https://openalex.org/W2599478506"],"abstract_inverted_index":{"Conventional":[0],"traffic":[1,9,44,56,61,118,143,146],"congestion":[2,84,171],"estimation":[3],"approaches":[4],"require":[5],"the":[6,71,83,98,106,109,117,138,152,161,167,230,235],"deployment":[7],"of":[8,18,70,101,113,141,166,227,234],"sensors":[10],"or":[11],"large-scale":[12],"probe":[13],"vehicles.":[14],"The":[15],"high":[16],"cost":[17,37],"deploying":[19],"and":[20,38,108,163,175,183,194,214,232],"maintaining":[21],"these":[22],"equipments":[23],"largely":[24],"limits":[25],"their":[26],"spatial-temporal":[27],"coverage.":[28],"This":[29],"paper":[30],"proposes":[31],"an":[32],"alternative":[33],"solution":[34],"with":[35],"lower":[36],"wider":[39],"spatial":[40,162],"coverage":[41],"by":[42],"exploring":[43],"related":[45,85],"information":[46,62,86,120,179,202],"from":[47,67,89,122,156,172],"Twitter.":[48],"By":[49],"regarding":[50],"each":[51,68],"Twitter":[52,114,123,212],"user":[53],"as":[54],"a":[55,191],"monitoring":[57],"sensor,":[58],"various":[59],"real-time":[60,90,154],"can":[63,124],"be":[64,125],"collected":[65],"freely":[66],"corner":[69],"city.":[72],"However,":[73],"there":[74],"are":[75,92],"two":[76,157],"major":[77],"challenges":[78],"for":[79,186,203],"this":[80],"problem.":[81],"Firstly,":[82],"extracted":[87],"directly":[88],"tweets":[91,107,155],"very":[93],"sparse":[94,153],"due":[95],"both":[96],"to":[97,136,150,198],"low":[99],"resolution":[100],"geographic":[102],"location":[103],"mentioned":[104],"in":[105,170],"inherent":[110],"sparsity":[111],"nature":[112],"data.":[115],"Secondly,":[116],"event":[119],"coming":[121],"multi-typed":[126],"including":[127,180],"congestion,":[128],"accident,":[129],"road":[130,168,184],"construction,":[131],"etc.":[132],"It":[133],"is":[134],"non-trivial":[135],"model":[137,197],"potential":[139],"impacts":[140],"diverse":[142],"events":[144,182],"on":[145,211,222],"congestion.":[147],"We":[148,188],"propose":[149,190],"enrich":[151],"directions:":[158],"1)":[159],"mining":[160],"temporal":[164],"correlations":[165],"segments":[169],"historical":[173],"data,":[174],"2)":[176],"applying":[177],"auxiliary":[178],"social":[181],"features":[185],"help.":[187],"finally":[189],"coupled":[192],"matrix":[193],"tensor":[195],"factorization":[196],"effectively":[199],"integrate":[200],"rich":[201],"Citywide":[204],"Traffic":[205],"Congestion":[206],"Eestimation":[207],"(CTCE).":[208],"Extensive":[209],"evaluations":[210],"data":[213,221],"500":[215],"million":[216],"public":[217],"passenger":[218],"buses":[219],"GPS":[220],"nearly":[223],"700":[224],"mile":[225],"roads":[226],"Chicago":[228],"demonstrate":[229],"efficiency":[231],"effectiveness":[233],"proposed":[236],"approach.":[237]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":5}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
