FMSYS: Fine-Grained Passenger Flow Monitoring in a Large-Scale Metro System Based on AFC Smart Card Data
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-2262-4_27
Reference11 articles.
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3. Jiang, X., et al.: Attention scaling for crowd counting. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
4. Lee, M., Sohn, K.: Inferring the route-use patterns of metro passengers based only on travel-time data within a Bayesian framework using a reversible-jump Markov chain Monte Carlo (MCMC) simulation. Transp. Res. Part B Methodol. 81, 1–17 (2015)
5. Noursalehi, P., Koutsopoulos, H.N., Zhao, J.: Dynamic origin-destination prediction in urban rail systems: a multi-resolution spatio-temporal deep learning approach. IEEE Trans. Intell. Transp. Syst. 23(6), 5106–5115 (2021)
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