{"id":"https://openalex.org/W1980390099","doi":"https://doi.org/10.1109/emeit.2011.6022884","title":"Application of an artificial neural network on railway passenger flow prediction","display_name":"Application of an artificial neural network on railway passenger flow prediction","publication_year":2011,"publication_date":"2011-08-01","ids":{"openalex":"https://openalex.org/W1980390099","doi":"https://doi.org/10.1109/emeit.2011.6022884","mag":"1980390099"},"language":"en","primary_location":{"id":"doi:10.1109/emeit.2011.6022884","is_oa":false,"landing_page_url":"https://doi.org/10.1109/emeit.2011.6022884","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2011 International Conference on Electronic &amp; Mechanical Engineering and Information Technology","raw_type":"proceedings-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/A5101539716","display_name":"Dan Zheng","orcid":"https://orcid.org/0000-0002-2421-3372"},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dan Zheng","raw_affiliation_strings":["School of Software, East China Jiaotong University, Nanchang, Jiangxi, China"],"affiliations":[{"raw_affiliation_string":"School of Software, East China Jiaotong University, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077654480","display_name":"Yao Wang","orcid":"https://orcid.org/0000-0002-8288-9549"},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Wang","raw_affiliation_strings":["School of Railway Tracks and Transportation, East China Jiaotong University, Nanchang, Jiangxi, China"],"affiliations":[{"raw_affiliation_string":"School of Railway Tracks and Transportation, East China Jiaotong University, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I13985625"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101539716"],"corresponding_institution_ids":["https://openalex.org/I13985625"],"apc_list":null,"apc_paid":null,"fwci":1.1056,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81047102,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"8","issue":null,"first_page":"149","last_page":"152"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.998199999332428,"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":0.998199999332428,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9835000038146973,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/ticket","display_name":"Ticket","score":0.6832680106163025},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6429350972175598},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6396762728691101},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.47303029894828796},{"id":"https://openalex.org/keywords/rail-transit","display_name":"Rail transit","score":0.43223634362220764},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.41736146807670593},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.38852831721305847},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3288225829601288},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24507850408554077},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20957645773887634},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09947928786277771},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09648913145065308}],"concepts":[{"id":"https://openalex.org/C2776540713","wikidata":"https://www.wikidata.org/wiki/Q7800647","display_name":"Ticket","level":2,"score":0.6832680106163025},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6429350972175598},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6396762728691101},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.47303029894828796},{"id":"https://openalex.org/C2992701429","wikidata":"https://www.wikidata.org/wiki/Q3491904","display_name":"Rail transit","level":2,"score":0.43223634362220764},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.41736146807670593},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.38852831721305847},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3288225829601288},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24507850408554077},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20957645773887634},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09947928786277771},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09648913145065308}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/emeit.2011.6022884","is_oa":false,"landing_page_url":"https://doi.org/10.1109/emeit.2011.6022884","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2011 International Conference on Electronic &amp; Mechanical Engineering and Information Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W109127539","https://openalex.org/W208128215","https://openalex.org/W563724364","https://openalex.org/W803321578","https://openalex.org/W861343430","https://openalex.org/W890497990","https://openalex.org/W1596290048","https://openalex.org/W1971901916","https://openalex.org/W2108971776","https://openalex.org/W2140190241","https://openalex.org/W2368578493","https://openalex.org/W2560711143","https://openalex.org/W6731047755"],"related_works":["https://openalex.org/W2394290607","https://openalex.org/W2376091931","https://openalex.org/W2368505403","https://openalex.org/W2316912705","https://openalex.org/W2361982628","https://openalex.org/W2010154088","https://openalex.org/W2358313156","https://openalex.org/W2364540842","https://openalex.org/W2953712434","https://openalex.org/W2353075137"],"abstract_inverted_index":{"This":[0],"paper":[1],"applies":[2],"the":[3,18,24,65,80],"theory":[4],"of":[5,21,23,30,62,79,86],"data":[6,9,22,37],"warehouse":[7],"and":[8,11,27,48,58,83],"mining":[10,38],"its":[12],"derived":[13],"technology":[14],"to":[15,43,69],"deal":[16],"with":[17],"huge":[19],"amount":[20],"Ticket":[25],"Selling":[26],"Reserving":[28],"System":[29],"Chinese":[31],"Railway":[32],"(TRS).":[33],"We":[34],"use":[35],"effective":[36],"in":[39],"passenger":[40,75],"flow":[41],"analysis":[42,49],"establish":[44],"a":[45,71],"logical":[46],"forecasting":[47],"model.":[50],"Our":[51],"model":[52],"can":[53],"provide":[54],"accurate":[55],"decision-making":[56],"information":[57],"an":[59],"advanced":[60],"way":[61],"forecast":[63],"for":[64,74],"railway":[66,81],"transit":[67],"authority":[68],"make":[70],"optimal":[72],"planning":[73],"transport,":[76],"scientific":[77],"organization":[78],"system":[82],"high":[84],"efficiency":[85],"transport":[87],"energy.":[88]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
