{"id":"https://openalex.org/W4380238333","doi":"https://doi.org/10.1007/s44230-023-00028-0","title":"Travel Time Prediction in Real time for GPS Taxi Data Streams and its Applications to Travel Safety","display_name":"Travel Time Prediction in Real time for GPS Taxi Data Streams and its Applications to Travel Safety","publication_year":2023,"publication_date":"2023-06-11","ids":{"openalex":"https://openalex.org/W4380238333","doi":"https://doi.org/10.1007/s44230-023-00028-0"},"language":"en","primary_location":{"id":"doi:10.1007/s44230-023-00028-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44230-023-00028-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44230-023-00028-0.pdf","source":{"id":"https://openalex.org/S4210207486","display_name":"Human-Centric Intelligent Systems","issn_l":"2667-1336","issn":["2667-1336"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Human-Centric Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://link.springer.com/content/pdf/10.1007/s44230-023-00028-0.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013162391","display_name":"Sayan Putatunda","orcid":"https://orcid.org/0000-0002-6477-0376"},"institutions":[{"id":"https://openalex.org/I150870154","display_name":"Indian Institute of Management Ahmedabad","ror":"https://ror.org/02egcpy68","country_code":"IN","type":"education","lineage":["https://openalex.org/I150870154"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sayan Putatunda","raw_affiliation_strings":["Indian Institute of Management Ahmedabad, IEEE (Member), Ahmedabad, India"],"raw_orcid":"https://orcid.org/0000-0002-6477-0376","affiliations":[{"raw_affiliation_string":"Indian Institute of Management Ahmedabad, IEEE (Member), Ahmedabad, India","institution_ids":["https://openalex.org/I150870154"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045321275","display_name":"Arnab Kumar Laha","orcid":"https://orcid.org/0000-0002-4689-3700"},"institutions":[{"id":"https://openalex.org/I150870154","display_name":"Indian Institute of Management Ahmedabad","ror":"https://ror.org/02egcpy68","country_code":"IN","type":"education","lineage":["https://openalex.org/I150870154"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arnab Kumar Laha","raw_affiliation_strings":["Indian Institute of Management Ahmedabad, Ahmedabad, India"],"raw_orcid":"https://orcid.org/0000-0002-4689-3700","affiliations":[{"raw_affiliation_string":"Indian Institute of Management Ahmedabad, Ahmedabad, India","institution_ids":["https://openalex.org/I150870154"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5013162391"],"corresponding_institution_ids":["https://openalex.org/I150870154"],"apc_list":null,"apc_paid":null,"fwci":1.0272,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.73728502,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"3","issue":"3","first_page":"381","last_page":"401"},"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9984999895095825,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/global-positioning-system","display_name":"Global Positioning System","score":0.7539872527122498},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7022846341133118},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5044196844100952},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.49448418617248535},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.4706622362136841},{"id":"https://openalex.org/keywords/real-time-data","display_name":"Real-time data","score":0.4609016180038452},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.44680678844451904},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.4164869785308838},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.41594451665878296},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17733842134475708},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.15926504135131836},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12260273098945618},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09381693601608276},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08631396293640137}],"concepts":[{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.7539872527122498},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7022846341133118},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5044196844100952},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.49448418617248535},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.4706622362136841},{"id":"https://openalex.org/C110593043","wikidata":"https://www.wikidata.org/wiki/Q7300787","display_name":"Real-time data","level":2,"score":0.4609016180038452},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.44680678844451904},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.4164869785308838},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.41594451665878296},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17733842134475708},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.15926504135131836},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12260273098945618},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09381693601608276},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08631396293640137},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44230-023-00028-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44230-023-00028-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44230-023-00028-0.pdf","source":{"id":"https://openalex.org/S4210207486","display_name":"Human-Centric Intelligent Systems","issn_l":"2667-1336","issn":["2667-1336"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Human-Centric Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:18df59133ee64d2f86107aab889f4cd2","is_oa":true,"landing_page_url":"https://doaj.org/article/18df59133ee64d2f86107aab889f4cd2","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Human-Centric Intelligent Systems, Vol 3, Iss 3, Pp 381-401 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44230-023-00028-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44230-023-00028-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44230-023-00028-0.pdf","source":{"id":"https://openalex.org/S4210207486","display_name":"Human-Centric Intelligent Systems","issn_l":"2667-1336","issn":["2667-1336"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Human-Centric Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4380238333.pdf"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W41415572","https://openalex.org/W182707955","https://openalex.org/W1492815834","https://openalex.org/W1513618424","https://openalex.org/W1533618852","https://openalex.org/W1772240793","https://openalex.org/W1838129148","https://openalex.org/W1858013062","https://openalex.org/W1984006069","https://openalex.org/W1988580225","https://openalex.org/W1994912512","https://openalex.org/W2001474264","https://openalex.org/W2011704486","https://openalex.org/W2023279748","https://openalex.org/W2031346385","https://openalex.org/W2054779505","https://openalex.org/W2064675550","https://openalex.org/W2066601010","https://openalex.org/W2069929199","https://openalex.org/W2104349879","https://openalex.org/W2104841477","https://openalex.org/W2105776550","https://openalex.org/W2106100548","https://openalex.org/W2122111042","https://openalex.org/W2123706197","https://openalex.org/W2127012233","https://openalex.org/W2139436361","https://openalex.org/W2142382652","https://openalex.org/W2144475703","https://openalex.org/W2147818560","https://openalex.org/W2156909104","https://openalex.org/W2169481698","https://openalex.org/W2183104740","https://openalex.org/W2207071930","https://openalex.org/W2227772560","https://openalex.org/W2293634267","https://openalex.org/W2402268235","https://openalex.org/W2489283373","https://openalex.org/W2564701384","https://openalex.org/W2613327476","https://openalex.org/W2616242671","https://openalex.org/W2748559863","https://openalex.org/W2766311542","https://openalex.org/W2778571179","https://openalex.org/W2793062606","https://openalex.org/W2844550192","https://openalex.org/W2912496565","https://openalex.org/W2989627907","https://openalex.org/W2998613884","https://openalex.org/W3081520580","https://openalex.org/W3090011481","https://openalex.org/W3182501623","https://openalex.org/W4229685370","https://openalex.org/W4230096730","https://openalex.org/W4230813007","https://openalex.org/W4231822114","https://openalex.org/W4244588920","https://openalex.org/W4246202668","https://openalex.org/W4295548218","https://openalex.org/W4297439921","https://openalex.org/W4388297464","https://openalex.org/W6679436768","https://openalex.org/W6775539779"],"related_works":["https://openalex.org/W3162200841","https://openalex.org/W3204225186","https://openalex.org/W2586280620","https://openalex.org/W2805505483","https://openalex.org/W253106158","https://openalex.org/W2384744344","https://openalex.org/W1799694159","https://openalex.org/W2393169196","https://openalex.org/W2366610330","https://openalex.org/W2351802214"],"abstract_inverted_index":{"Abstract":[0],"The":[1],"analysis":[2],"of":[3,12,20,120,125,132,145],"data":[4,43,71,96],"streams":[5,44],"offers":[6],"a":[7,133,154],"great":[8,168],"opportunity":[9],"for":[10,34,40,170],"development":[11],"new":[13,30],"methodologies":[14],"and":[15,48,88,112,153],"applications":[16],"in":[17,45],"the":[18,35,50,69,75,81,94,103,113,118,130,140,143,161],"area":[19],"Intelligent":[21],"Transportation":[22],"Systems.":[23],"In":[24],"this":[25],"paper,":[26],"we":[27,137],"propose":[28],"two":[29],"incremental":[31],"learning":[32],"approaches":[33],"travel":[36,127,172],"time":[37,128],"prediction":[38,86,124],"problem":[39],"taxi":[41],"GPS":[42],"different":[46],"scenarios":[47],"compare":[49],"same":[51],"with":[52,108],"three":[53],"other":[54],"existing":[55],"methods.":[56],"An":[57],"extensive":[58],"performance":[59],"evaluation":[60],"using":[61,160],"four":[62],"real":[63],"life":[64],"datasets":[65],"indicate":[66],"that":[67,139],"when":[68,93],"training":[70,95],"size":[72,97],"is":[73,80,98,135,142],"small":[74],"Support":[76],"Vector":[77],"Regression":[78,107,116],"method":[79,144,163],"best":[82],"choice":[83],"considering":[84],"both":[85],"accuracy":[87],"total":[89],"computation":[90],"time.":[91],"However":[92],"large":[99],"to":[100],"moderate":[101],"then":[102],"Randomized":[104],"K-Nearest":[105],"Neighbor":[106],"Spherical":[109],"Distance":[110],"(RKNNRSD)":[111],"Incremental":[114],"Polynomial":[115],"become":[117],"methods":[119],"choice.":[121,146],"When":[122],"continuous":[123],"remaining":[126],"along":[129],"trajectory":[131],"trip":[134],"considered":[136],"find":[138],"RKNNRSD":[141,162],"A":[147],"Real-time":[148],"Speeding":[149,157],"Alert":[150],"System":[151],"(RSAS)":[152],"Driver":[155],"Suspected":[156],"Scorecard":[158],"(DSSS)":[159],"are":[164],"proposed":[165],"which":[166],"have":[167],"potential":[169],"improving":[171],"safety.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}