{"id":"https://openalex.org/W2999377799","doi":"https://doi.org/10.1109/access.2020.2964689","title":"Analysis of Bus Trip Characteristic Analysis and Demand Forecasting Based on GA-NARX Neural Network Model","display_name":"Analysis of Bus Trip Characteristic Analysis and Demand Forecasting Based on GA-NARX Neural Network Model","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W2999377799","doi":"https://doi.org/10.1109/access.2020.2964689","mag":"2999377799"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2964689","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2964689","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08951178.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,"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"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08951178.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056024611","display_name":"Feng Sun","orcid":"https://orcid.org/0000-0002-7897-6973"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feng Sun","raw_affiliation_strings":["College of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo, China"],"raw_orcid":"https://orcid.org/0000-0002-7897-6973","affiliations":[{"raw_affiliation_string":"College of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo, China","institution_ids":["https://openalex.org/I119203015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100395136","display_name":"Xiaolin Wang","orcid":"https://orcid.org/0000-0001-9958-0591"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Lin Wang","raw_affiliation_strings":["College of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo, China"],"raw_orcid":"https://orcid.org/0000-0001-9958-0591","affiliations":[{"raw_affiliation_string":"College of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo, China","institution_ids":["https://openalex.org/I119203015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354600","display_name":"Yang Zhang","orcid":"https://orcid.org/0000-0001-8641-2660"},"institutions":[{"id":"https://openalex.org/I34155123","display_name":"Hebei University of Science and Technology","ror":"https://ror.org/05h3pkk68","country_code":"CN","type":"education","lineage":["https://openalex.org/I34155123"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Zhang","raw_affiliation_strings":["School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, China"],"raw_orcid":"https://orcid.org/0000-0001-8641-2660","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, China","institution_ids":["https://openalex.org/I34155123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101689438","display_name":"Weixuan Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]},{"id":"https://openalex.org/I4210103247","display_name":"Jiangsu Provincial Urban Planning and Design Institute","ror":"https://ror.org/01bf03r65","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210103247"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei-Xuan Liu","raw_affiliation_strings":["College of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo, China","Jiangsu Urban Transport Planning and Design Institute Company, Ltd., Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-0256-3267","affiliations":[{"raw_affiliation_string":"College of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo, China","institution_ids":["https://openalex.org/I119203015"]},{"raw_affiliation_string":"Jiangsu Urban Transport Planning and Design Institute Company, Ltd., Nanjing, China","institution_ids":["https://openalex.org/I4210103247"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026336285","display_name":"Rongji Zhang","orcid":"https://orcid.org/0000-0001-7813-1121"},"institutions":[{"id":"https://openalex.org/I119203015","display_name":"Shandong University of Technology","ror":"https://ror.org/02mr3ar13","country_code":"CN","type":"education","lineage":["https://openalex.org/I119203015"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong-Ji Zhang","raw_affiliation_strings":["College of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo, China"],"raw_orcid":"https://orcid.org/0000-0001-7813-1121","affiliations":[{"raw_affiliation_string":"College of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo, China","institution_ids":["https://openalex.org/I119203015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5056024611"],"corresponding_institution_ids":["https://openalex.org/I119203015"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.956,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.84308817,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"8812","last_page":"8820"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":1.0,"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":1.0,"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":0.9997000098228455,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9976000189781189,"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/computer-science","display_name":"Computer science","score":0.6541878581047058},{"id":"https://openalex.org/keywords/smart-card","display_name":"Smart card","score":0.6473513841629028},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4847850203514099},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44264519214630127},{"id":"https://openalex.org/keywords/control-bus","display_name":"Control bus","score":0.4248695969581604},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3306448757648468},{"id":"https://openalex.org/keywords/system-bus","display_name":"System bus","score":0.26487448811531067},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.1508343517780304},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13278314471244812}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6541878581047058},{"id":"https://openalex.org/C110406131","wikidata":"https://www.wikidata.org/wiki/Q41349","display_name":"Smart card","level":2,"score":0.6473513841629028},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4847850203514099},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44264519214630127},{"id":"https://openalex.org/C203315745","wikidata":"https://www.wikidata.org/wiki/Q2235486","display_name":"Control bus","level":3,"score":0.4248695969581604},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3306448757648468},{"id":"https://openalex.org/C136321198","wikidata":"https://www.wikidata.org/wiki/Q2377054","display_name":"System bus","level":2,"score":0.26487448811531067},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.1508343517780304},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13278314471244812}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2964689","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2964689","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08951178.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,"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:234fa5036daa411f8782650e9f738dc0","is_oa":true,"landing_page_url":"https://doaj.org/article/234fa5036daa411f8782650e9f738dc0","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":"IEEE Access, Vol 8, Pp 8812-8820 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2964689","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2964689","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08951178.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,"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":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7400000095367432}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306108","display_name":"U.S. Department of Transportation","ror":"https://ror.org/02xfw2e90"},{"id":"https://openalex.org/F4320310094","display_name":"University of Washington","ror":"https://ror.org/00cvxb145"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2999377799.pdf","grobid_xml":"https://content.openalex.org/works/W2999377799.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W1970075137","https://openalex.org/W1979820468","https://openalex.org/W1998486166","https://openalex.org/W2022781565","https://openalex.org/W2028920224","https://openalex.org/W2083238230","https://openalex.org/W2085987121","https://openalex.org/W2605048719","https://openalex.org/W2731264215","https://openalex.org/W2900840036","https://openalex.org/W3180279812","https://openalex.org/W6649842431","https://openalex.org/W6798274656"],"related_works":["https://openalex.org/W2120234551","https://openalex.org/W4231013044","https://openalex.org/W615130418","https://openalex.org/W578967464","https://openalex.org/W2376177688","https://openalex.org/W2039421592","https://openalex.org/W2372681229","https://openalex.org/W2353048513","https://openalex.org/W2370920011","https://openalex.org/W2386855685"],"abstract_inverted_index":{"Passenger":[0],"flow":[1,81,147,151,180,212,230],"is":[2,47,60,110,131,181],"the":[3,104,117,142,178,184,202,210],"basis":[4],"for":[5,162,189,227],"bus":[6,23,27,44,70,79,86,108,119,125,167,197,233],"operation":[7],"scheduling.":[8],"Huge":[9],"advances":[10],"are":[11,33,152],"being":[12],"made":[13],"to":[14,103],"develop":[15],"smart":[16],"city":[17],"traffic":[18],"using":[19,183,217,232],"big":[20],"data.":[21],"Intelligent":[22],"systems":[24,32,109],"based":[25,154,171],"on":[26,155,165,172],"integrated":[28],"circuit":[29],"(IC)":[30],"card":[31,186],"constantly":[34],"developing":[35],"and":[36,50,66,82,88,113,129,148,220],"improving.":[37],"Compared":[38],"with":[39,52],"traditional":[40],"manual":[41],"survey":[42],"data,":[43],"IC":[45,58,71,126,160,185,234],"data":[46,59,64,67,98,127,156,188],"low-cost,":[48],"real-time":[49],"accurate":[51],"a":[53,166,173],"simple":[54],"acquisition":[55],"method.":[56],"Bus":[57],"an":[61],"important":[62],"basic":[63],"resource":[65],"mining":[68],"of":[69,106,116,144,193],"cards":[72,161],"can":[73,99,121,213,224],"obtain":[74],"dynamic":[75],"information":[76],"about":[77],"urban":[78,85,107],"passenger":[80,118,146,150,179,211,229],"help":[83],"improve":[84],"planning":[87],"service":[89],"levels.":[90],"The":[91,205],"crucial":[92],"factor":[93],"in":[94,168],"determining":[95],"whether":[96,111],"this":[97,137,140,218,222],"be":[100,122,214,225],"reasonably":[101],"applied":[102],"optimization":[105],"spatial":[112],"temporal":[114],"characteristics":[115,143],"trip":[120],"obtained":[123,157],"through":[124],"mining,":[128],"there":[130],"much":[132],"current":[133],"research":[134],"interest":[135],"into":[136],"topic.":[138],"In":[139],"paper,":[141],"one-day":[145],"time-division":[149],"analyzed":[153],"from":[158],"swiping":[159],"one":[163],"week":[164],"Qingdao.":[169],"Then,":[170],"GA-NARX":[174],"neural":[175],"network":[176],"model,":[177],"forecast":[182],"swipe":[187],"five":[190],"working":[191],"days":[192],"Qingdao":[194],"No.":[195],"1":[196],"(using":[198],"ten":[199],"minutes":[200],"as":[201],"time":[203],"interval).":[204],"forecasting":[206,231],"results":[207],"show":[208],"that":[209],"successfully":[215],"predicted":[216],"method":[219,223],"thus":[221],"used":[226],"short-term":[228],"cards.":[235]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
