  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.
