Multi-sequence spatio-temporal feature fusion network for peak-hour passenger flow prediction in urban rail transit

Research article (Transportation Letters, 2024) · cited 13× · AI/ML
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Multi-sequence spatio-temporal feature fusion network for peak-hour passenger flow prediction in urban rail transit

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Multi-sequence spatio-temporal feature fusion network for peak-hour passenger flow prediction in urban rail transit is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Multi-sequence spatio-temporal feature fusion network for peak-hour passenger flow prediction in urban rail transit. Retrieved May 24, 2026, from https://4ort.xyz/entity/multi-sequence-spatio-temporal-feature-fusion-network-for-peak-hour-passenger-flow-prediction-in-urban-rail-transit
MLA “Multi-sequence spatio-temporal feature fusion network for peak-hour passenger flow prediction in urban rail transit.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multi-sequence-spatio-temporal-feature-fusion-network-for-peak-hour-passenger-flow-prediction-in-urban-rail-transit.
BibTeX @misc{4ortxyz_multi-sequence-spatio-temporal-feature-fusion-network-for-peak-hour-passenger-flow-prediction-in-urban-rail-transit_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multi-sequence spatio-temporal feature fusion network for peak-hour passenger flow prediction in urban rail transit}}, year = {2026}, url = {https://4ort.xyz/entity/multi-sequence-spatio-temporal-feature-fusion-network-for-peak-hour-passenger-flow-prediction-in-urban-rail-transit}, note = {Accessed: 2026-05-24}}
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