{"id":"https://openalex.org/W2964098640","doi":"https://doi.org/10.1145/2996913.2996943","title":"A simple baseline for travel time estimation using large-scale trip data","display_name":"A simple baseline for travel time estimation using large-scale trip data","publication_year":2016,"publication_date":"2016-10-31","ids":{"openalex":"https://openalex.org/W2964098640","doi":"https://doi.org/10.1145/2996913.2996943","mag":"2964098640"},"language":"en","primary_location":{"id":"doi:10.1145/2996913.2996943","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2996913.2996943","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2996943&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM 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":"http://dl.acm.org/ft_gateway.cfm?id=2996943&type=pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100740070","display_name":"Hongjian Wang","orcid":"https://orcid.org/0000-0002-7918-4548"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hongjian Wang","raw_affiliation_strings":["Pennsylvania State University"],"affiliations":[{"raw_affiliation_string":"Pennsylvania State University","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103171514","display_name":"Yu-Hsuan Kuo","orcid":"https://orcid.org/0000-0002-1314-5722"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu-Hsuan Kuo","raw_affiliation_strings":["Pennsylvania State University"],"affiliations":[{"raw_affiliation_string":"Pennsylvania State University","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005431144","display_name":"Daniel Kifer","orcid":"https://orcid.org/0000-0002-4611-7066"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Kifer","raw_affiliation_strings":["Pennsylvania State University"],"affiliations":[{"raw_affiliation_string":"Pennsylvania State University","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016516907","display_name":"Zhenhui Li","orcid":"https://orcid.org/0000-0001-7221-2588"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhenhui Li","raw_affiliation_strings":["Pennsylvania State University"],"affiliations":[{"raw_affiliation_string":"Pennsylvania State University","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100740070"],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":10.9586,"has_fulltext":true,"cited_by_count":68,"citation_normalized_percentile":{"value":0.9857481,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9995999932289124,"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/T11106","display_name":"Data Management and Algorithms","score":0.9983000159263611,"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/trips-architecture","display_name":"TRIPS architecture","score":0.8610622882843018},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.7491819858551025},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7268661856651306},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7203713655471802},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6994761824607849},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.608565628528595},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5694928169250488},{"id":"https://openalex.org/keywords/travel-time","display_name":"Travel time","score":0.4961186349391937},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4402354061603546},{"id":"https://openalex.org/keywords/urban-computing","display_name":"Urban computing","score":0.4238734543323517},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.4175465404987335},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.34700191020965576},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2551814019680023},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1823241412639618},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11219054460525513},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09538426995277405}],"concepts":[{"id":"https://openalex.org/C157085824","wikidata":"https://www.wikidata.org/wiki/Q2384809","display_name":"TRIPS architecture","level":2,"score":0.8610622882843018},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.7491819858551025},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7268661856651306},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7203713655471802},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6994761824607849},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.608565628528595},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5694928169250488},{"id":"https://openalex.org/C2985733770","wikidata":"https://www.wikidata.org/wiki/Q1233007","display_name":"Travel time","level":2,"score":0.4961186349391937},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4402354061603546},{"id":"https://openalex.org/C2778459138","wikidata":"https://www.wikidata.org/wiki/Q7900107","display_name":"Urban computing","level":2,"score":0.4238734543323517},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.4175465404987335},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.34700191020965576},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2551814019680023},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1823241412639618},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11219054460525513},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09538426995277405},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2996913.2996943","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2996913.2996943","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2996943&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/2996913.2996943","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2996913.2996943","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2996943&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8299999833106995,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1282069419","display_name":null,"funder_award_id":"1054389","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3841770090","display_name":null,"funder_award_id":"1544455, 1618448","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4342645261","display_name":null,"funder_award_id":"1618448","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G70512371","display_name":null,"funder_award_id":"1544455","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2964098640.pdf","grobid_xml":"https://content.openalex.org/works/W2964098640.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W1519770485","https://openalex.org/W2031674781","https://openalex.org/W2106229734","https://openalex.org/W2111160151","https://openalex.org/W2144475703","https://openalex.org/W2811507150"],"related_works":["https://openalex.org/W2807758032","https://openalex.org/W4224254130","https://openalex.org/W2152103536","https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W4390608645","https://openalex.org/W413879896","https://openalex.org/W3090765184","https://openalex.org/W2989156809","https://openalex.org/W4384997512"],"abstract_inverted_index":{"The":[0,108],"increased":[1],"availability":[2],"of":[3,13,29,68,84],"large-scale":[4],"trajectory":[5,91],"data":[6,136],"provides":[7,46],"rich":[8],"information":[9,28],"for":[10,38,145],"the":[11,53,62,70,89,95,134],"study":[12,61,124],"urban":[14],"dynamics.":[15],"For":[16],"example,":[17],"New":[18],"York":[19],"City":[20],"Taxi":[21],"&":[22],"Limousine":[23],"Commission":[24],"regularly":[25],"releases":[26],"source/destination":[27],"taxi":[30,35,85],"trips,":[31],"where":[32],"173":[33],"million":[34],"trips":[36,86],"released":[37],"Year":[39],"2013":[40],"[1].":[41],"Such":[42],"a":[43,81],"big":[44,110,135],"dataset":[45],"us":[47],"potential":[48],"new":[49,143],"perspectives":[50],"to":[51,78,93],"address":[52],"traditional":[54,71,147],"traffic":[55],"problems.":[56,149],"In":[57],"this":[58],"paper,":[59],"we":[60,76],"travel":[63,73,96],"time":[64,74,97],"estimation":[65],"problem.":[66],"Instead":[67],"following":[69],"route-based":[72,117],"estimation,":[75],"propose":[77],"simply":[79],"use":[80],"large":[82],"amount":[83],"without":[87],"using":[88],"intermediate":[90],"points":[92],"estimate":[94],"between":[98],"source":[99],"and":[100,119,137],"destination.":[101],"Our":[102,123],"experiments":[103],"show":[104],"very":[105],"promising":[106],"results.":[107],"proposed":[109],"data-driven":[111],"approach":[112],"significantly":[113],"outperforms":[114],"both":[115],"state-of-the-art":[116],"method":[118],"online":[120],"map":[121],"services.":[122],"indicates":[125],"that":[126],"novel":[127],"simple":[128],"approaches":[129,139],"could":[130,140],"be":[131],"empowered":[132],"by":[133],"these":[138],"serve":[141],"as":[142],"baselines":[144],"some":[146],"computational":[148]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":5}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}