Eco-Mobility-on-Demand Fleet Control with Ride-Sharing
Applications
2020-10-20 v2 Robotics
Signal Processing
Optimization and Control
Abstract
Shared Mobility-on-Demand using automated vehicles can reduce energy consumption and cost for future mobility. However, its full potential in energy saving has not been fully explored. An algorithm to minimize fleet fuel consumption while satisfying customers travel time constraints is developed in this paper. Numerical simulations with realistic travel demand and route choice are performed, showing that if fuel consumption is not considered, the MOD service can increase fleet fuel consumption due to increased empty vehicle mileage. With fuel consumption as part of the cost function, we can reduce total fuel consumption by 7 percent while maintaining a high level of mobility service.
Cite
@article{arxiv.1908.09828,
title = {Eco-Mobility-on-Demand Fleet Control with Ride-Sharing},
author = {Xianan Huang and Boqi Li and Huei Peng and Joshua A. Auld and Vadim O. Sokolov},
journal= {arXiv preprint arXiv:1908.09828},
year = {2020}
}
Comments
arXiv admin note: text overlap with arXiv:1801.08602