Using an Interpretable Machine Learning Framework to Understand the Relationship of Mobility and Reliability Indices on Truck Drivers' Route Choices.
Xiaoqiang KongYunlong ZhangWilliam L. EiseleXiao XiaoPublished in: IEEE Trans. Intell. Transp. Syst. (2022)
Keyphrases
- machine learning
- pattern recognition
- machine learning methods
- learning systems
- decision trees
- main contribution
- real time
- information extraction
- knowledge representation
- explanation based learning
- machine learning algorithms
- computational intelligence
- natural language processing
- knowledge discovery
- active learning
- natural language
- artificial intelligence
- data mining
- data sets