Sep 16, 2019 · In such platforms, demands are dispatched to suppliers round by round, and suppliers have autonomy to decide whether to accept demands or not.

In this paper, we propose a novel demand dispatching model, named by many-to-many model. The novelty of the model is that a supplier could receive multiple ...

The novelty of the model is that a supplier could receive multiple demands in a round, such that the demand has high chance to be dispatched and answered within ...

In this paper, we propose a novel many-to-many demand dispatching model. The novelty of the model is that a supplier could receive multiple demands in a round, ...

In such platforms, demands are dispatched to suppliers round by round, and suppliers have autonomy to decide whether to accept demands. Existing approaches ...

A Novel Demand Dispatching Model for Autonomous On-Demand Services-article.

A Novel Demand Dispatching Model for Autonomous On-Demand Services. L. Yang, X. Yu, J. Cao, W. Li, Y. Wang, and M. Szczecinski. IEEE Trans. Serv.

A novel demand dispatching model using deep reinforcement learning that outperforms the existing models in terms of Cancellation Rate and Average Response ...

Presenting a robust framework for autonomous service vehicles dispatching, balancing multiple objectives efficiently.

Feb 3, 2024 · This paper presents an optimal control approach to optimize vehicle scheduling and rebalancing in an autonomous mobility-on-demand (AMoD) system ...