An Unsupervised Learning Approach for Robust Denied Boarding Probability Estimation Using Smart Card and Operation Data in Urban Railways
Author:
Affiliation:
1. Udemy, Ankara, Turkey
2. Department of Civil and Environmental Engineering, Northeastern University, Boston, MA, USA
3. Department of Civil and Architectural Engineering and Digital Futures, KTH Royal Institute of Technology, Stockholm, Sweden
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/5117645/10310036/10178047.pdf?arnumber=10178047
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1. Smart card data use in public transit: A literature review
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4. Network-Wide Link Travel Time and Station Waiting Time Estimation Using Automatic Fare Collection Data: A Computational Graph Approach
5. DeepPF: A deep learning based architecture for metro passenger flow prediction
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