Research on the model and algorithm of origin-destination matrix estimation for urban rail transit-Reference-Cited by-同舟云学术

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Research on the model and algorithm of origin-destination matrix estimation for urban rail transit

Published:2011-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings 2011 International Conference on Transportation, Mechanical, and Electrical Engineering (TMEE)
language:
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Author:

Wang Shi-wei,Ou Dong-xiu,Dong De-cun,Xie Hui

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/6194405/6199128/06199469.pdf?arnumber=6199469

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Learning Model for Short-Term Origin–Destination Distribution Prediction in Urban Rail Transit Network Considering Destination Choice Behavior;Transportation Research Record: Journal of the Transportation Research Board;2024-05-23

2. Spatio-Temporal Self-Attention Network for Origin–Destination Matrix Prediction in Urban Rail Transit;Sustainability;2024-03-20

3. Two-Stage OD Flow Prediction for Emergency in Urban Rail Transit;IEEE Transactions on Intelligent Transportation Systems;2024-01

4. Parallel Interactive Attention Network for Short-Term Origin–Destination Prediction in Urban Rail Transit;Applied Sciences;2023-12-21

5. Short-term origin-destination demand prediction in urban rail transit systems: A channel-wise attentive split-convolutional neural network method;Transportation Research Part C: Emerging Technologies;2021-03

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