Abstract
As an emerging mode of urban transportation, autonomous mobility-on-demand (AMoD) systems show the potential in improving mobility in cities through timely and door-to-door services. However, the spatiotemporal imbalances between mobility demand and supply may lead to inefficiencies and a low quality of service. Vehicle rebalancing (i.e., dispatching idle vehicles to high-demand areas) is a potential solution for efficient AMoD fleet management. In this article, we formulate the vehicle rebalancing problem as a coverage control problem for the deployment of a fleet of mobile agents for AMoD operation in urban areas. Performance is demonstrated via microscopic simulations representing a large urban road network in Shenzhen, China. The results reveal the potential of the proposed method in improving service rates and decreasing passenger waiting times.
| Original language | English |
|---|---|
| Pages (from-to) | 1-15 |
| Number of pages | 15 |
| Journal | IEEE Transactions on Control Systems Technology |
| DOIs | |
| State | Accepted/In press - 2024 |
| Externally published | Yes |
Keywords
- Autonomous mobility-on-demand (AMoD) systems
- cooperative control
- coverage control
- Dispatching
- distributed control
- Mobile agents
- Partitioning algorithms
- Public transportation
- Real-time systems
- Urban areas
- Vehicle dynamics
- vehicle rebalancing
ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering
