{"id":"https://openalex.org/W2486963015","doi":"https://doi.org/10.1109/smartcomp.2016.7501714","title":"Real-Time and Predictive Analytics for Smart Public Transportation Decision Support System","display_name":"Real-Time and Predictive Analytics for Smart Public Transportation Decision Support System","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2486963015","doi":"https://doi.org/10.1109/smartcomp.2016.7501714","mag":"2486963015"},"language":"en","primary_location":{"id":"doi:10.1109/smartcomp.2016.7501714","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smartcomp.2016.7501714","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Smart Computing (SMARTCOMP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5057832802","display_name":"Fangzhou Sun","orcid":"https://orcid.org/0000-0002-8937-146X"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]},{"id":"https://openalex.org/I4210160740","display_name":"Integrated Software (United States)","ror":"https://ror.org/05dp7m259","country_code":"US","type":"company","lineage":["https://openalex.org/I4210160740"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fangzhou Sun","raw_affiliation_strings":["Department of EECS Vanderbilt University, Institute of Software Integrated Systems, Nashville, TN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of EECS Vanderbilt University, Institute of Software Integrated Systems, Nashville, TN, USA","institution_ids":["https://openalex.org/I200719446","https://openalex.org/I4210160740"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101621943","display_name":"Yao Pan","orcid":"https://orcid.org/0000-0002-7765-7292"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]},{"id":"https://openalex.org/I4210160740","display_name":"Integrated Software (United States)","ror":"https://ror.org/05dp7m259","country_code":"US","type":"company","lineage":["https://openalex.org/I4210160740"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yao Pan","raw_affiliation_strings":["Department of EECS Vanderbilt University, Institute of Software Integrated Systems, Nashville, TN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of EECS Vanderbilt University, Institute of Software Integrated Systems, Nashville, TN, USA","institution_ids":["https://openalex.org/I200719446","https://openalex.org/I4210160740"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023026501","display_name":"Jules White","orcid":"https://orcid.org/0000-0002-6331-2365"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]},{"id":"https://openalex.org/I4210160740","display_name":"Integrated Software (United States)","ror":"https://ror.org/05dp7m259","country_code":"US","type":"company","lineage":["https://openalex.org/I4210160740"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jules White","raw_affiliation_strings":["Department of EECS Vanderbilt University, Institute of Software Integrated Systems, Nashville, TN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of EECS Vanderbilt University, Institute of Software Integrated Systems, Nashville, TN, USA","institution_ids":["https://openalex.org/I200719446","https://openalex.org/I4210160740"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049776939","display_name":"Abhishek Dubey","orcid":"https://orcid.org/0000-0002-0168-4948"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]},{"id":"https://openalex.org/I4210160740","display_name":"Integrated Software (United States)","ror":"https://ror.org/05dp7m259","country_code":"US","type":"company","lineage":["https://openalex.org/I4210160740"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abhishek Dubey","raw_affiliation_strings":["Department of EECS Vanderbilt University, Institute of Software Integrated Systems, Nashville, TN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of EECS Vanderbilt University, Institute of Software Integrated Systems, Nashville, TN, USA","institution_ids":["https://openalex.org/I200719446","https://openalex.org/I4210160740"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.589,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.97728814,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9998000264167786,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9988999962806702,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/arrival-time","display_name":"Arrival time","score":0.7590630650520325},{"id":"https://openalex.org/keywords/public-transport","display_name":"Public transport","score":0.7066032290458679},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6825575828552246},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5691792964935303},{"id":"https://openalex.org/keywords/time-of-arrival","display_name":"Time of arrival","score":0.51426762342453},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.5082990527153015},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.46374592185020447},{"id":"https://openalex.org/keywords/transit","display_name":"Transit (satellite)","score":0.46290597319602966},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4573471248149872},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.45503684878349304},{"id":"https://openalex.org/keywords/real-time-data","display_name":"Real-time data","score":0.4405604600906372},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.4288294315338135},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.41049641370773315},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3927311599254608},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1811041533946991},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.17880544066429138},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09685975313186646}],"concepts":[{"id":"https://openalex.org/C3017552255","wikidata":"https://www.wikidata.org/wiki/Q4135208","display_name":"Arrival time","level":2,"score":0.7590630650520325},{"id":"https://openalex.org/C539828613","wikidata":"https://www.wikidata.org/wiki/Q178512","display_name":"Public transport","level":2,"score":0.7066032290458679},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6825575828552246},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5691792964935303},{"id":"https://openalex.org/C163150518","wikidata":"https://www.wikidata.org/wiki/Q4135208","display_name":"Time of arrival","level":3,"score":0.51426762342453},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.5082990527153015},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.46374592185020447},{"id":"https://openalex.org/C2778022998","wikidata":"https://www.wikidata.org/wiki/Q651136","display_name":"Transit (satellite)","level":3,"score":0.46290597319602966},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4573471248149872},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.45503684878349304},{"id":"https://openalex.org/C110593043","wikidata":"https://www.wikidata.org/wiki/Q7300787","display_name":"Real-time data","level":2,"score":0.4405604600906372},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.4288294315338135},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.41049641370773315},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3927311599254608},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1811041533946991},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.17880544066429138},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09685975313186646},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smartcomp.2016.7501714","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smartcomp.2016.7501714","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Smart Computing (SMARTCOMP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1497720824","https://openalex.org/W1518328951","https://openalex.org/W1740986913","https://openalex.org/W1967463056","https://openalex.org/W1973943669","https://openalex.org/W1979071869","https://openalex.org/W1987971958","https://openalex.org/W1996118086","https://openalex.org/W2017872791","https://openalex.org/W2025106742","https://openalex.org/W2026524503","https://openalex.org/W2039559615","https://openalex.org/W2058794637","https://openalex.org/W2066601010","https://openalex.org/W2069929199","https://openalex.org/W2082280406","https://openalex.org/W2104554956","https://openalex.org/W2106110155","https://openalex.org/W2107812207","https://openalex.org/W2128361979","https://openalex.org/W2136758849","https://openalex.org/W2150593711","https://openalex.org/W2249345664","https://openalex.org/W2346705130","https://openalex.org/W2564227947","https://openalex.org/W6631123776","https://openalex.org/W6691413717","https://openalex.org/W6730742220"],"related_works":["https://openalex.org/W2765924402","https://openalex.org/W2920514105","https://openalex.org/W2550892593","https://openalex.org/W4387960969","https://openalex.org/W4288481730","https://openalex.org/W3003184106","https://openalex.org/W3028083027","https://openalex.org/W1581082085","https://openalex.org/W2072300506","https://openalex.org/W3158506473"],"abstract_inverted_index":{"Public":[0],"bus":[1,13,28,112,119,141],"transit":[2,14],"plays":[3],"an":[4,202],"important":[5],"role":[6],"in":[7,34,158],"city":[8],"transportation":[9,98],"infrastructure.":[10],"However,":[11],"public":[12,97],"is":[15,68,123,179],"often":[16],"difficult":[17,45],"to":[18,48,71,85,139,160,171],"use":[19],"because":[20],"of":[21,23,37,63,66,74,110],"lack":[22],"real-":[24],"time":[25,165,175,190,214],"information":[26],"about":[27],"locations":[29],"and":[30,40,54,60,128,131,149,205],"delay":[31,201],"time,":[32],"which":[33,122],"the":[35,172,184,199],"presence":[36],"operational":[38,80],"delays":[39],"service":[41],"alerts":[42],"makes":[43],"it":[44],"for":[46,102,136],"riders":[47,62],"predict":[49,140],"when":[50,197,207],"buses":[51],"will":[52],"arrive":[53],"plan":[55],"trips.":[56],"Precisely":[57],"tracking":[58],"vehicle":[59],"informing":[61],"estimated":[64],"times":[65,83],"arrival":[67,111,130,142,164,174,189,200],"challenging":[69],"due":[70],"a":[72,96,153,210],"number":[73],"factors,":[75],"such":[76],"as":[77,105,107],"traffic":[78],"congestion,":[79],"delays,":[81],"varying":[82],"taken":[84],"load":[86],"passengers":[87],"at":[88],"each":[89],"stop.":[90],"In":[91],"this":[92],"paper,":[93],"we":[94],"introduce":[95],"decision":[99],"support":[100],"system":[101,115,187],"both":[103],"short-term":[104],"well":[106],"long-term":[108],"prediction":[109,176,191],"times.":[113,143],"The":[114],"uses":[116],"streaming":[117],"real-time":[118],"position":[120],"data,":[121],"updated":[124],"once":[125],"every":[126],"minute,":[127],"historical":[129],"departure":[132],"data":[133],"-":[134],"available":[135],"select":[137],"stops":[138],"Our":[144],"approach":[145],"combines":[146],"clustering":[147],"analysis":[148],"Kalman":[150],"filters":[151],"with":[152],"shared":[154],"route":[155],"segment":[156],"model":[157,177],"order":[159],"produce":[161],"more":[162],"accurate":[163],"predictions.":[166],"Experiments":[167],"show":[168],"that":[169,178],"compared":[170],"basic":[173],"currently":[180],"being":[181],"used":[182],"by":[183,193],"city,":[185],"our":[186],"reduces":[188],"errors":[192],"25%":[194],"on":[195],"average":[196],"predicting":[198,208],"hour":[203],"ahead":[204],"47%":[206],"within":[209],"15":[211],"minute":[212],"future":[213],"window.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
