Intermodal Network of Autonomous Mobility-on-Demand and Micromobility Systems
By: S. J. Abbasi Koumleh, Fabio Paparella
Potential Business Impact:
Makes self-driving cars and scooters work together better.
This paper studies models for Autonomous Micromobility-on-Demand (AMoD), a paradigm in which a fleet of autonomous vehicles delivers mobility services on demand in conjunction with micromobility systems. Specifically, we introduce a network flow model to encapsulate the interaction between AMoD and micromobility under an intermodal connection scenario. The primary objective is to analyze the system's behavior, optimizing passenger travel time. Following this theoretical development, we apply these models to the transportation networks of Sioux Falls, enabling a quantifiable evaluation of the reciprocal influences between the two transportation modes. We found that increasing the number of vehicles in any of these two modes of transportation also incentivizes users to use the other. Moreover, increasing the rebalancing capacity of the micromobility system will make the AMoD system need less rebalancing.
Similar Papers
Real-time Operation of Electric Autonomous Mobility-on-Demand System Considering Power System Regulation
Systems and Control
Keeps self-driving cars charged without hurting power grid.
Reproducibility in the Control of Autonomous Mobility-on-Demand Systems
Robotics
Makes self-driving car research easier to copy.
Robo-taxi Fleet Coordination at Scale via Reinforcement Learning
Machine Learning (CS)
Makes self-driving taxis work better together.