Modeling Long-Range Travelling Times with Big Railway Data
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-00129-1_38
Reference14 articles.
1. Mtr corporation. http://www.mtr.com.hk/en/customer/main/index.html
2. Chen, Y., Rilett, L.R.: Train data collection and arrival time prediction system for highway-rail grade crossings. Transp. Res. Rec. 2608(1), 36–45 (2017)
3. Han, X.: Traffic incident detection: a deep learning framework. In: MDM, pp. 379–380. IEEE (2019)
4. Han, X., Cheng, R., Grubenmann, T., Maniu, S., Ma, C., Li, X.: Leveraging contextual graphs for stochastic weight completion in sparse road networks. In: SDM (2022)
5. Han, X., Grubenmann, T., Cheng, R., Wong, S.C., Li, X., Sun, W.: Traffic incident detection: a trajectory-based approach. In: ICDE, pp. 1866–1869. IEEE (2020)
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