{"id":"https://openalex.org/W2145978666","doi":"https://doi.org/10.4304/jcp.8.4.1072-1077","title":"Using Markov Process for Passenger Structure Prediction within Comprehensive Transportation Channel","display_name":"Using Markov Process for Passenger Structure Prediction within Comprehensive Transportation Channel","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W2145978666","doi":"https://doi.org/10.4304/jcp.8.4.1072-1077","mag":"2145978666"},"language":"en","primary_location":{"id":"doi:10.4304/jcp.8.4.1072-1077","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.8.4.1072-1077","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"},"type":"article","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/A5100601719","display_name":"Dong Wang","orcid":"https://orcid.org/0000-0003-2784-0045"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dong Wang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110933818","display_name":"Yanhong Li","orcid":"https://orcid.org/0009-0001-1145-1443"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yanhong Li","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100893610","display_name":"Xiaonian Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaonian Sun","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100601719"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.136,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.85680014,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"8","issue":"4","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9800999760627747,"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":0.9800999760627747,"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":0.9728999733924866,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6347640156745911},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6222434639930725},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5985051393508911},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5926723480224609},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5145070552825928},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.15406587719917297},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1405167579650879},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1248880922794342},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07275792956352234}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6347640156745911},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6222434639930725},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5985051393508911},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5926723480224609},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5145070552825928},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.15406587719917297},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1405167579650879},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1248880922794342},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07275792956352234},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jcp.8.4.1072-1077","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.8.4.1072-1077","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2008044841","https://openalex.org/W2055001073"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2379651310","https://openalex.org/W2113019827","https://openalex.org/W1541249122","https://openalex.org/W2413828414","https://openalex.org/W2367222340"],"abstract_inverted_index":{"Comprehensive":[0],"transportation":[1,46,111],"Channel":[2,12],"is":[3,15],"the":[4,7,26,35,54,67,72,89,107],"backbone":[5],"of":[6,19,28,34,40,56,71,109],"regional":[8],"transport":[9],"system.":[10,112],"The":[11],"structure":[13,42,63],"configuration":[14],"a":[16,51],"direct":[17],"means":[18],"adjusting":[20],"channel":[21],"development":[22],"state":[23],"to":[24,60,106],"meet":[25],"needs":[27],"traveler.":[29],"By":[30],"using":[31],"fundamental":[32],"analysis":[33],"affecting":[36],"factors":[37],"and":[38,69,77,94],"mechanism":[39],"passenger":[41,62],"evolution":[43],"within":[44],"comprehensive":[45,110],"Channel,":[47],"this":[48,75,79],"paper":[49],"presents":[50],"model":[52,80,91],"on":[53],"basis":[55],"Markov":[57],"chain":[58],"theory":[59,108],"predict":[61],"evolution.":[64],"We":[65],"verified":[66],"quality":[68],"accuracy":[70],"parameters":[73],"in":[74,82,96],"paper,":[76],"implemented":[78],"successfully":[81],"Beijing-Shanghai":[83],"Channel.":[84],"This":[85,101],"application":[86],"indicated":[87],"that":[88],"integration":[90],"was":[92],"effective":[93],"efficient":[95],"dynamic":[97],"traffic":[98],"demand":[99],"forecasting.":[100],"study":[102],"makes":[103],"crucial":[104],"contributions":[105]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
