Paper Title :Understanding Mode Choice Decision Making of Commuters Using Different Modelling Framework
Author :Tanmay
Article Citation :Tanmay ,
(2024 ) " Understanding Mode Choice Decision Making of Commuters Using Different Modelling Framework " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 56-64,
Volume-12,Issue-6
Abstract : This study examines decision making behaviour of 1350 households from low and low-middle income brackets
living in Bengaluru, India regarding mode choice classification using ML classifiers like Decision Trees, Random Forest,
Extreme Gradient Boosting and Support Vector Machines. Random forest performed the best (0.61 on training data and 0.4
on testing data) among all models. This research has adopted interpretability techniques like feature importance to explain
the decision making behaviour using ML models. Key findings indicate that travel cost and travel time contribute highest to
the model’s predictive output, across all ML models.
Type : Research paper
Published : Volume-12,Issue-6
Copyright: © Institute of Research and Journals
| |
 |
| |
 |
PDF |
| |
Viewed - 32 |
| |
Published on 2024-09-21 |
|
