Acceptable Planning: Influencing Individual Behavior to Reduce Transportation Energy Expenditure of a City
Abstract
Our research aims at developing intelligent systems to reduce the transportation-related energy expenditure of a large city by influencing individual behavior. We introduce Copter - an intelligent travel assistant that evaluates multi-modal travel alternatives to find a plan that is acceptable to a person given their context and preferences. We propose a formulation for acceptable planning that brings together ideas from AI, machine learning, and economics. This formulation has been incorporated in Copter that produces acceptable plans in real-time. We adopt a novel empirical evaluation framework that combines human decision data with a high fidelity multi-modal transportation simulation to demonstrate a 4% energy reduction and 20% delay reduction in a realistic deployment scenario in Los Angeles, California, USA. This article is part of the special track on AI and Society.
Cite
Text
Mohan et al. "Acceptable Planning: Influencing Individual Behavior to Reduce Transportation Energy Expenditure of a City." Journal of Artificial Intelligence Research, 2019. doi:10.1613/JAIR.1.11352Markdown
[Mohan et al. "Acceptable Planning: Influencing Individual Behavior to Reduce Transportation Energy Expenditure of a City." Journal of Artificial Intelligence Research, 2019.](https://mlanthology.org/jair/2019/mohan2019jair-acceptable/) doi:10.1613/JAIR.1.11352BibTeX
@article{mohan2019jair-acceptable,
title = {{Acceptable Planning: Influencing Individual Behavior to Reduce Transportation Energy Expenditure of a City}},
author = {Mohan, Shiwali and Rakha, Hesham and Klenk, Matthew},
journal = {Journal of Artificial Intelligence Research},
year = {2019},
pages = {555-587},
doi = {10.1613/JAIR.1.11352},
volume = {66},
url = {https://mlanthology.org/jair/2019/mohan2019jair-acceptable/}
}