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To improve the accuracy of traffic flow forecasts, it is necessary to consider the historical data over a longer period. However, most of the existing methods only consider part of the recent historical time information, ignoring the implied fluctuation of the traffic flow in some regions in the historical contemporaneous time interval. Therefore, we propose a multidimensional long-term spatio-temporal attention model for traffic flow forecasting by capturing time series correlations. In this model, we design a multi-temporal dimensional attention mechanism and a deep fusion extraction convolutional neural network to capture multidimensional temporal information and fuse spatio-temporal correlations to predict traffic flow. The experimental results on two real datasets show that the proposed model outperforms the compared models.<\/jats:p>","DOI":"10.1177\/1088467x251336926","type":"journal-article","created":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T19:44:07Z","timestamp":1747251847000},"page":"182-195","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["MLSTAM: A multidimensional long-term spatio-temporal attention model for traffic flow forecasting by capturing time series correlations"],"prefix":"10.1177","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-7177-4620","authenticated-orcid":false,"given":"Xiangze","family":"Liu","sequence":"first","affiliation":[{"name":"School of Information and Software Engineering, East China Jiaotong University, Nanchang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuan","family":"Jiang","sequence":"additional","affiliation":[{"name":"School of Information and Software Engineering, East China Jiaotong University, Nanchang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaohui","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Information and Software Engineering, East China Jiaotong University, Nanchang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nan","family":"Jiang","sequence":"additional","affiliation":[{"name":"School of Information and Software Engineering, East China Jiaotong University, Nanchang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liyan","family":"Xiong","sequence":"additional","affiliation":[{"name":"School of Information and Software Engineering, East China Jiaotong University, Nanchang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2025,5,14]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"crossref","unstructured":"Jin W Lin Y Wu Z et\u00a0al. 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