Eco-Mobility-on-Demand Fleet Control with Ride-Sharing

08/23/2019 ∙ by Xianan Huang, et al. ∙ 0

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 12 percent while maintaining a high level of mobility service.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 5

page 9

page 10

page 12

This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.