/IOHMM-for-individual-mobility-prediction

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

Primary LanguagePythonMIT LicenseMIT

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.

Data

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.