{"id":"https://openalex.org/W2965504635","doi":"https://doi.org/10.1109/access.2019.2932801","title":"A Novel Bus-Dispatching Model Based on Passenger Flow and Arrival Time Prediction","display_name":"A Novel Bus-Dispatching Model Based on Passenger Flow and Arrival Time Prediction","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2965504635","doi":"https://doi.org/10.1109/access.2019.2932801","mag":"2965504635"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2932801","doi":"https://doi.org/10.1109/access.2019.2932801","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2932801","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08786157.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,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","ki-jl-1","norway-1","oarl","poland-100","russia-white-list-1","vabb-shw"],"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"},"volume":null,"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08786157.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019788400","display_name":"Zhao Huang","orcid":"https://orcid.org/0000-0003-2855-1309","observed_orcids":["https://orcid.org/0000-0003-2855-1309"]},"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":"Zhao Huang","raw_affiliation_strings":["Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-2855-1309","affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404067","display_name":"Qingquan Li","orcid":"https://orcid.org/0000-0002-2438-6046","observed_orcids":["https://orcid.org/0000-0002-2438-6046","https://orcid.org/0000-0002-4133-6518","https://orcid.org/0009-0005-7605-1247"]},"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":"Qingquan Li","raw_affiliation_strings":["Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100373594","display_name":"Fan Li","orcid":"https://orcid.org/0000-0003-0269-7027","observed_orcids":["https://orcid.org/0000-0003-0269-7027"]},"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":"Fan Li","raw_affiliation_strings":["Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-0269-7027","affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005361369","display_name":"Jizhe Xia","orcid":"https://orcid.org/0000-0002-6436-7456","observed_orcids":["https://orcid.org/0000-0002-6436-7456"]},"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":"Jizhe Xia","raw_affiliation_strings":["Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":{"value":1750,"currency":"USD","value_usd":1750},"apc_paid":{"value":1750,"currency":"USD","value_usd":1750},"fwci":8.123,"has_fulltext":true,"cited_by_count":50,"citation_normalized_percentile":{"value":0.97356355,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"106453","last_page":"106465"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9648000001907349,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9648000001907349,"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":0.020099999383091927,"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.002300000051036477,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bus-dispatching","display_name":"bus dispatching","score":0.9490000009536743},{"id":"https://openalex.org/keywords/bus-arrival-time-prediction","display_name":"bus arrival time prediction","score":0.8849999904632568},{"id":"https://openalex.org/keywords/passenger-flow-prediction","display_name":"passenger demand forecasting","score":0.9990000128746033},{"id":"https://openalex.org/keywords/public-transport","display_name":"public transport","score":0.5630000233650208},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"long short-term memory","score":0.7329999804496765},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"genetic algorithm","score":0.8740000128746033},{"id":"https://openalex.org/keywords/passenger-waiting-time","display_name":"passenger waiting time","score":0.8420000076293945},{"id":"https://openalex.org/keywords/origin-destination-data","display_name":"origin-destination data","score":0.7820000052452087}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7212085127830505},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4515378773212433},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.4496239125728607},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2932801","doi":"https://doi.org/10.1109/access.2019.2932801","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2932801","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08786157.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,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","ki-jl-1","norway-1","oarl","poland-100","russia-white-list-1","vabb-shw"],"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:635c64366c254ebcbd7512625e6b6b5d","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/635c64366c254ebcbd7512625e6b6b5d","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,"listed_in":[],"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":"IEEE Access, Vol 7, Pp 106453-106465 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2932801","doi":"https://doi.org/10.1109/access.2019.2932801","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2932801","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08786157.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,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","ki-jl-1","norway-1","oarl","poland-100","russia-white-list-1","vabb-shw"],"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":[{"score":0.5378999710083008,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"},{"score":0.5142999887466431,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G139905000","display_name":null,"funder_award_id":"41701444","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2965504635.pdf","grobid_xml":"https://content.openalex.org/works/W2965504635.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W598095728","https://openalex.org/W610726118","https://openalex.org/W1497720824","https://openalex.org/W1782014188","https://openalex.org/W1920377544","https://openalex.org/W1967738308","https://openalex.org/W1983855932","https://openalex.org/W1983968772","https://openalex.org/W1988580225","https://openalex.org/W1989744908","https://openalex.org/W1992341494","https://openalex.org/W1995687640","https://openalex.org/W1997058814","https://openalex.org/W2000826897","https://openalex.org/W2002841906","https://openalex.org/W2006317032","https://openalex.org/W2007655223","https://openalex.org/W2026184121","https://openalex.org/W2036083936","https://openalex.org/W2036785686","https://openalex.org/W2037808616","https://openalex.org/W2038921590","https://openalex.org/W2056723219","https://openalex.org/W2062778018","https://openalex.org/W2073944089","https://openalex.org/W2090672779","https://openalex.org/W2099081462","https://openalex.org/W2170785963","https://openalex.org/W2185887402","https://openalex.org/W2200726908","https://openalex.org/W2233426463","https://openalex.org/W2283290141","https://openalex.org/W2380385090","https://openalex.org/W2463406066","https://openalex.org/W2479611522","https://openalex.org/W2585263599","https://openalex.org/W2593182953","https://openalex.org/W2606105273","https://openalex.org/W2738180183","https://openalex.org/W2751650042","https://openalex.org/W2792047499","https://openalex.org/W2795281135","https://openalex.org/W2900682747","https://openalex.org/W2901422070","https://openalex.org/W2910566273","https://openalex.org/W2914669112","https://openalex.org/W2916752133","https://openalex.org/W2939159089","https://openalex.org/W2943055507","https://openalex.org/W2948525753","https://openalex.org/W2999823459","https://openalex.org/W4235430411","https://openalex.org/W4247442924","https://openalex.org/W6687050539"],"related_works":["https://openalex.org/W2793547515","https://openalex.org/W2991004264","https://openalex.org/W4414231154","https://openalex.org/W1987724019","https://openalex.org/W4379618926","https://openalex.org/W4282926263","https://openalex.org/W2390190242","https://openalex.org/W4403391755","https://openalex.org/W3031435341","https://openalex.org/W2368938271"],"abstract_inverted_index":{"Public":[0],"transport":[1,18],"is":[2,56,74,85,136],"vital":[3],"to":[4,66,162],"people\u2019s":[5],"daily":[6],"travel,":[7],"and":[8,27,58,103,114,126,131,150,168,202,229,241,256,264,286],"bus":[9,34,47,53,61,71,82,96,123,133,147,169,176,200,251],"dispatching":[10,35,48,97,177],"plays":[11],"a":[12,93,203,309],"significant":[13],"role":[14],"in":[15,31,43,76,210],"the":[16,52,60,70,81,88,109,115,122,127,132,140,144,164,173,182,220,245,261,268,282,290,294,305],"public":[17],"system.":[19],"With":[20],"deep":[21,39],"learning":[22,40],"having":[23],"been":[24],"widely":[25],"applied":[26],"achieved":[28],"great":[29],"success":[30],"many":[32,46],"fields,":[33],"methods":[36],"based":[37,99,154],"on":[38,100,155],"are":[41,118,160,239,254],"proposed":[42,269],"succession.":[44],"Currently,":[45],"models":[49],"assume":[50],"that":[51,80],"departure":[54,62,72],"timetable":[55,63,73],"fixed":[57],"optimize":[59],"interval":[64],"according":[65],"passenger":[67,104,128,151,166,237,262],"flow.":[68],"However,":[69],"variable":[75],"general,":[77],"only":[78],"considering":[79],"arrival":[83,101,134,148,170,252,265],"time":[84,102,135,149,185,253,266,274,297],"insufficient.":[86],"Targeting":[87],"above":[89],"challenges,":[90],"we":[91],"propose":[92],"novel":[94],"dynamic":[95],"model":[98,178,271,307,312],"flow":[105,152,167,263],"prediction":[106,153,238],"(D-ATPF).":[107],"First,":[108],"historical":[110],"origin\u2013destination":[111],"(OD)":[112],"data":[113,117,125,194],"transfer":[116],"obtained":[119],"by":[120,138,188,275,302],"processing":[121],"trajectory":[124],"card-swiping":[129],"records,":[130],"extracted":[137],"analyzing":[139],"GPS":[141],"trajectory.":[142],"Second,":[143],"components":[145],"of":[146,195,205,281,298],"long":[156],"short-term":[157],"memory":[158],"(P-LSTM)":[159],"adopted":[161],"predict":[163],"future":[165],"time.":[171],"Finally,":[172],"genetic":[174],"algorithm-based":[175],"(GABD":[179],"model)":[180],"searches":[181],"minimum":[183],"waiting":[184,273,284,296],"for":[186,279,313],"passengers":[187],"using":[189,193],"stay":[190,292],"strategy.":[191],"By":[192],"five":[196],"lines":[197],"with":[198,289],"124":[199],"stations":[201],"total":[204,283],"9":[206],"02":[207],"509":[208],"records":[209],"Guangzhou":[211],"city,":[212],"China,":[213],"our":[214],"experimental":[215],"results":[216],"show":[217],"that:":[218],"1)":[219],"average":[221],"mean":[222,231],"absolute":[223],"percentage":[224],"error":[225,233],"($\\overline":[226,234],"{MAPE}":[227,247],"$)":[228],"root":[230],"square":[232],"{RMSE})":[235],"$of":[236,250],"14%":[240],"7.5,":[242],"respectively;":[243,258],"2)":[244],"average$\\overline":[246],"$and$\\overline":[248],"{RMSE}":[249],"7.5%":[255],"13.5,":[257],"3)":[259],"regarding":[260],"prediction,":[267],"D-ATPF":[270,306],"reduced":[272,295],"829.68":[276],"min,":[277],"accounting":[278],"25.19%":[280],"time;":[285],"4)":[287],"compared":[288],"real-time":[291],"strategy,":[293],"this":[299],"method":[300],"increased":[301],"5.94%.":[303],"Therefore,":[304],"provided":[308],"more":[310],"practical":[311],"buses":[314],"dispatching.":[315]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":11}],"updated_date":"2026-10-29T09:56:32.521200","created_date":"2019-08-13T00:00:00"}