{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T00:25:10Z","timestamp":1730247910037,"version":"3.28.0"},"reference-count":6,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,9,23]],"date-time":"2022-09-23T00:00:00Z","timestamp":1663891200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,9,23]],"date-time":"2022-09-23T00:00:00Z","timestamp":1663891200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,9,23]]},"DOI":"10.1109\/iciscae55891.2022.9927644","type":"proceedings-article","created":{"date-parts":[[2022,11,4]],"date-time":"2022-11-04T21:32:10Z","timestamp":1667597530000},"page":"282-286","source":"Crossref","is-referenced-by-count":0,"title":["Passenger flow prediction at rail transit stations based on LSTM network and correlation analysis"],"prefix":"10.1109","author":[{"given":"Zhuo","family":"Wang","sequence":"first","affiliation":[{"name":"Beijing Jiaotong University,School of Traffic and Transportation,Beijing,China"}]},{"given":"Ruonan","family":"Li","sequence":"additional","affiliation":[{"name":"Beijing Jiaotong University,School of Traffic and Transportation,Beijing,China"}]},{"given":"Guanwen","family":"Wu","sequence":"additional","affiliation":[{"name":"Beijing Jiaotong University,School of Traffic and Transportation,Beijing,China"}]}],"member":"263","reference":[{"key":"ref4","first-page":"56","article-title":"Short-term forecasting of the subway passenger flow based on wavelet decomposition and long short-term memory network","volume":"32","author":"gao","year":"2019","journal-title":"Shandong Science"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s12205-017-1016-9"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/YAC.2016.7804912"},{"journal-title":"Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework","year":"2016","author":"wu","key":"ref5"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1063\/1.5039099"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ISKE.2017.8258756"}],"event":{"name":"2022 IEEE 5th International Conference on Information Systems and Computer Aided Education (ICISCAE)","start":{"date-parts":[[2022,9,23]]},"location":"Dalian, China","end":{"date-parts":[[2022,9,25]]}},"container-title":["2022 IEEE 5th International Conference on Information Systems and Computer Aided Education (ICISCAE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9927385\/9927503\/09927644.pdf?arnumber=9927644","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,21]],"date-time":"2022-11-21T21:32:15Z","timestamp":1669066335000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9927644\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,23]]},"references-count":6,"URL":"https:\/\/doi.org\/10.1109\/iciscae55891.2022.9927644","relation":{},"subject":[],"published":{"date-parts":[[2022,9,23]]}}}