Modeling Heterogeneity in Mode-Switching Behavior Under a Mobility-on-Demand Transit System: An Interpretable Machine Learning Approach.
Xilei ZhaoXiang YanPascal Van HentenryckPublished in: CoRR (2019)
Keyphrases
- machine learning
- pattern recognition
- feature selection
- decision trees
- supervised learning
- mobility patterns
- computational intelligence
- expert systems
- support vector machine
- information extraction
- text mining
- mobile agents
- computer science
- computer vision
- data management
- knowledge acquisition
- inductive learning
- modeling method
- behavior patterns
- artificial intelligence