/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

@ARTICLE{9537634,
  author={Mo, Baichuan and Zhao, Zhan and Koutsopoulos, Haris N. and Zhao, Jinhua},
  journal={IEEE Transactions on Intelligent Transportation Systems}, 
  title={Individual Mobility Prediction in Mass Transit Systems Using Smart Card Data: An Interpretable Activity-Based Hidden Markov Approach}, 
  year={2022},
  volume={23},
  number={8},
  pages={12014-12026},
  doi={10.1109/TITS.2021.3109428}}