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Input-output hidden markov model for individual mobility prediction with interpretability

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IOHMM-for-individual-mobility-prediction

Input-output hidden markov model for individual mobility prediction with interpretability.

Codes

These are codes for paper "Individual Mobility Prediction in Mass Transit Systems using Smart Card Data: An Interpretable Activity-based Hidden Markov Approach". The IOHMM codes are modified from https://github.com/Mogeng/IOHMM. The first author want to thank Mr. Mogeng Yin for the discussion about the IOHMM implementation.

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Data is not avaiable due to privacy issues.

Cite the project

To be updated. Please search "Individual Mobility Prediction in Mass Transit Systems using Smart Card Data: An Interpretable Activity-based Hidden Markov Approach" by B Mo, Z Zhao, H N Koutsopoulos, and J Zhao.

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  • Python 100.0%