{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T15:46:16Z","timestamp":1773330376273,"version":"3.50.1"},"reference-count":27,"publisher":"Springer Science and Business Media LLC","issue":"9","license":[{"start":{"date-parts":[[2021,5,9]],"date-time":"2021-05-09T00:00:00Z","timestamp":1620518400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,5,9]],"date-time":"2021-05-09T00:00:00Z","timestamp":1620518400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"name":"the National Key Research and Development Program of China","award":["2018YFB0105101"],"award-info":[{"award-number":["2018YFB0105101"]}]},{"name":"the Natural Science Foundation of China under Grants","award":["U1964201, 61790561 and 61790564"],"award-info":[{"award-number":["U1964201, 61790561 and 61790564"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2022,5]]},"DOI":"10.1007\/s00521-021-06062-y","type":"journal-article","created":{"date-parts":[[2021,5,9]],"date-time":"2021-05-09T04:02:39Z","timestamp":1620532959000},"page":"6615-6624","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Sudden passenger flow characteristics and congestion control based on intelligent urban rail transit network"],"prefix":"10.1007","volume":"34","author":[{"given":"Yulei","family":"Wang","sequence":"first","affiliation":[]},{"given":"Meng","family":"Li","sequence":"additional","affiliation":[]},{"given":"Jian","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Hongyu","family":"Zheng","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,5,9]]},"reference":[{"issue":"2","key":"6062_CR1","first-page":"241","volume":"26","author":"X Ma","year":"2020","unstructured":"Ma X, Foong LK, Morasaei A et al (2020) Swarm-based hybridizations of neural network for predicting the concrete strength[J]. Smart Struct Syst 26(2):241\u2013251","journal-title":"Smart Struct Syst"},{"issue":"November","key":"6062_CR2","first-page":"403","volume":"26","author":"J Gao","year":"2020","unstructured":"Gao J, Koopialipoor M, Armaghani DJ et al (2020) Evaluating the bond strength of FRP in concrete samples using machine learning methods[J]. Smart Struct Syst 26(November):403\u2013418","journal-title":"Smart Struct Syst"},{"issue":"November","key":"6062_CR3","first-page":"559","volume":"26","author":"Y Cao","year":"2020","unstructured":"Cao Y, Miraba S, Rafiei S et al (2020) Economic application of structural health monitoring and internet of things in efficiency of building information modeling[J]. Smart Struct Syst 26(November):559\u2013573","journal-title":"Smart Struct Syst"},{"issue":"4","key":"6062_CR4","doi-asserted-by":"publisher","first-page":"1412","DOI":"10.1109\/JSYST.2014.2354835","volume":"00","author":"F Paganelli","year":"2016","unstructured":"Paganelli F, Turchi S, Giuli D (2016) A web of things framework for restful applications and its experimentation in a smart city. IEEE Syst J 00(4):1412\u20131423","journal-title":"IEEE Syst J"},{"issue":"2","key":"6062_CR5","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1109\/MIC.2016.39","volume":"20","author":"JM Schleicher","year":"2016","unstructured":"Schleicher JM, Vogler M, Dustdar S, Inzinger C (2016) Enabling a smart city application ecosystem: requirements and architectural aspects. IEEE Internet Comput 20(2):58\u201365","journal-title":"IEEE Internet Comput"},{"issue":"1","key":"6062_CR6","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1109\/MCOM.2017.1600267CM","volume":"55","author":"K Zhang","year":"2017","unstructured":"Zhang K, Ni J, Yang K, Liang X, Ren J, Shen XS (2017) Security and privacy in smart city applications: challenges and solutions. IEEE Commun Mag 55(1):122\u2013129","journal-title":"IEEE Commun Mag"},{"issue":"5","key":"6062_CR7","doi-asserted-by":"publisher","first-page":"1377","DOI":"10.1109\/TC.2015.2479596","volume":"65","author":"Z Ding","year":"2016","unstructured":"Ding Z, Yang B, Chi Y, Guo L (2016) Enabling smart transportation systems: a parallel spatio-temporal database approach. IEEE Trans Comput 65(5):1377\u20131391","journal-title":"IEEE Trans Comput"},{"issue":"4","key":"6062_CR8","first-page":"418","volume":"34","author":"C Xiaoshu","year":"2015","unstructured":"Xiaoshu C, Wenyue Y, Xiaoyan H (2015) Aaccessibility and co_2 emissions from travel of smart transportation:theory and empirical studies. Prog Geogr 34(4):418\u2013429","journal-title":"Prog Geogr"},{"issue":"24","key":"6062_CR9","doi-asserted-by":"publisher","first-page":"17487","DOI":"10.1007\/s11042-016-3285-6","volume":"75","author":"J Yang","year":"2016","unstructured":"Yang J, Xu R, Cui J, Ding Z (2016) Robust visual tracking using adaptive local appearance model for smart transportation. Multimed Tools Appl 75(24):17487\u201317500","journal-title":"Multimed Tools Appl"},{"issue":"24","key":"6062_CR10","doi-asserted-by":"publisher","first-page":"17501","DOI":"10.1007\/s11042-016-3313-6","volume":"75","author":"J Yang","year":"2016","unstructured":"Yang J, Zhou J, Fan D, Lv H (2016) Design of intelligent recognition system based on gait recognition technology in smart transportation. Multimed Tools Appl 75(24):17501\u201317514","journal-title":"Multimed Tools Appl"},{"issue":"2","key":"6062_CR11","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1002\/atr.1364","volume":"50","author":"BY Chen","year":"2016","unstructured":"Chen BY, Lam WHK (2016) Special issue: smart transportation: theory and practice. J Adv Transp 50(2):141\u2013144","journal-title":"J Adv Transp"},{"issue":"006","key":"6062_CR12","first-page":"85","volume":"037","author":"Ma Chaoqun","year":"2015","unstructured":"Chaoqun Ma, Yuping W (2015) Analysis on characteristics and principle of passenger flow of urban rail transit. Railw Transp Econom 037(006):85\u201391","journal-title":"Railw Transp Econom"},{"issue":"4","key":"6062_CR13","doi-asserted-by":"publisher","first-page":"364","DOI":"10.1016\/j.jtte.2015.09.009","volume":"3","author":"Li Wei","year":"2016","unstructured":"Wei Li, WeiZhu (2016) A dynamic simulation model of passenger flow distribution on schedule-based rail transit networks with train delays. J Traffic Trans Eng (English Edition) 3(4):364\u2013373","journal-title":"J Traffic Trans Eng (English Edition)"},{"issue":"001","key":"6062_CR14","first-page":"126","volume":"036","author":"C Changjun","year":"2015","unstructured":"Changjun C, Enjian Y, Yongsheng Z, Shasha L (2015) Forecast of passenger flow\u2019s distribution among urban rail transit stations based on afc data based on afc data. China Railw Sci 036(001):126\u2013132","journal-title":"China Railw Sci"},{"key":"6062_CR15","unstructured":"Liu Yan, Zhang Ning, & Shao Xingjie. (2015). Short-term cross-sectional passenger flow forecast of urban rail transit%. Short-term cross-sectional passenger flow forecast of urban rail transit. Urban fast rail transit , 028 (001), 77\u201381."},{"issue":"003","key":"6062_CR16","first-page":"1","volume":"021","author":"P Yulong","year":"2019","unstructured":"Yulong P, Hui C, Yingqun J (2019) Research on matching passenger flow and evacuation capacity of urban rail transit. Transp Sci Econom 021(003):1\u20136","journal-title":"Transp Sci Econom"},{"issue":"003","key":"6062_CR17","first-page":"139","volume":"018","author":"Xu Huang Zhiyuan","year":"2018","unstructured":"Huang Zhiyuan Xu, Ruihua YR, Wei L (2018) Evaluation of equilibrium on passenger flow distribution on urban rail transit network. Transp Syst Eng Inform 018(003):139\u2013145","journal-title":"Transp Syst Eng Inform"},{"issue":"001","key":"6062_CR18","first-page":"147","volume":"032","author":"G Juan","year":"2017","unstructured":"Juan G, Xuefeng L (2017) An analysis of forecast of the passenger flow of urban rail transit. Shanxi Sci Technol 032(001):147\u2013150","journal-title":"Shanxi Sci Technol"},{"issue":"001","key":"6062_CR19","first-page":"44","volume":"044","author":"C Feng","year":"2018","unstructured":"Feng C (2018) Study on the cultivation and promotion of passenger flow in ningbo rail transit. Inform Res 044(001):44\u201349","journal-title":"Inform Res"},{"issue":"5","key":"6062_CR20","first-page":"129","volume":"18","author":"X Jiang","year":"2019","unstructured":"Jiang X, Jia F, Feng J (2019) An online estimation method for passenger flow od of urban rail transit network by using afc data. J Transp Syst Eng Inf Technol 18(5):129\u2013135","journal-title":"J Transp Syst Eng Inf Technol"},{"issue":"001","key":"6062_CR21","first-page":"116","volume":"000","author":"D Xiaobing","year":"2016","unstructured":"Xiaobing D, Xingfang Xu (2016) Algorithms of station passenger flow forecast of suburban rail transit based on distribution time. Transp Syst Eng Inform 000(001):116\u2013122","journal-title":"Transp Syst Eng Inform"},{"issue":"002","key":"6062_CR22","first-page":"119","volume":"039","author":"Y Well","year":"2018","unstructured":"Well Y, built, Zhou Wenhua, & Zhang Yongsheng. (2018) Real-time forecast of entrance and exit passenger flow for newly opened station of urban rail transit at initial stage% new station early urban rail transport launched real-time entry and exit traffic forecast. China Railw Sci 039(002):119\u2013127","journal-title":"China Railw Sci"},{"issue":"006","key":"6062_CR23","first-page":"16","volume":"018","author":"Tu Qiang","year":"2018","unstructured":"Qiang Tu, Jiancheng W, Pengfei L, Yuan W (2018) An identification method of passenger flow congestion risks in rail transit transfer stations% Urban rail transfer station congestion risk identification method. Road Traffic Safety 018(006):16\u201321","journal-title":"Road Traffic Safety"},{"issue":"004","key":"6062_CR24","first-page":"102","volume":"000","author":"Xu Han","year":"2017","unstructured":"Han Xu (2017) Study on passenger flow organization for networking of urban rail transit. Shandong Transp Sci Technol 000(004):102\u2013104","journal-title":"Shandong Transp Sci Technol"},{"issue":"005","key":"6062_CR25","first-page":"50","volume":"003","author":"L Erhui","year":"2017","unstructured":"Erhui L (2017) Research on the multi-station continuous transfer passenger flow organization of rail transit network. Transp Stand 003(005):50\u201356","journal-title":"Transp Stand"},{"issue":"3","key":"6062_CR26","first-page":"139","volume":"18","author":"Z Huang","year":"2018","unstructured":"Huang Z, Xu RH, Yang RD, Liu W (2018) Evaluation on equilibrium of passenger flow distribution on urban rail transit network. Jiaotong Yunshu Xitong Gongcheng Yu Xinxi\/ J Transp Syst Eng Inform Technol 18(3):139\u2013145","journal-title":"Jiaotong Yunshu Xitong Gongcheng Yu Xinxi\/ J Transp Syst Eng Inform Technol"},{"issue":"6","key":"6062_CR27","first-page":"974","volume":"41","author":"Z Zhang","year":"2017","unstructured":"Zhang Z, Zhang D, Jia J, Liang T (2017) Short-term passenger flow forecasting of rail transit platform based on improved kalman filter. Wuhan Ligong Daxue Xuebao 41(6):974\u2013977","journal-title":"Wuhan Ligong Daxue Xuebao"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-021-06062-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-021-06062-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-021-06062-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,16]],"date-time":"2022-04-16T11:13:58Z","timestamp":1650107638000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-021-06062-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,9]]},"references-count":27,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2022,5]]}},"alternative-id":["6062"],"URL":"https:\/\/doi.org\/10.1007\/s00521-021-06062-y","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,5,9]]},"assertion":[{"value":"18 January 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 April 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 May 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"These no potential competing interests in our paper and all authors have seen the manuscript and approved to submit to your journal. We confirm that the content of the manuscript has not been published or submitted for publication elsewhere.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}