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Found 7 papers, 3 papers with code
Personalised incentives with constrained regulator's budget
We analytically show that our personalised-incentive policy is also optimal within this class of policies and construct close-to-optimal enforcement and proportional tax-subsidy policies.
Large-Scale Allocation of Personalized Incentives
We consider a regulator willing to drive individual choices towards increasing social welfare by providing incentives to a large population of individuals.
Monkey Business: Reinforcement learning meets neighborhood search for Virtual Network Embedding
In this article, we consider the Virtual Network Embedding (VNE) problem for 5G networks slicing.
Adaptive Transit Design: Optimizing Fixed and Demand Responsive Multi-Modal Transportation via Continuous Approximation
Our model allows deciding whether to deploy a FR or a DR feeder, in each sub-region of an urban conurbation and each time of day, and to redesign the line frequencies and the stop spacing of the main trunk service.
Market Design for Tradable Mobility Credits
Further, it is more robust in the presence of forecasting errors and non-recurrent events due to the adaptiveness of the market.
On the Importance of demand Consolidation in Mobility on Demand
This work is a first step toward flexible mobility services that are able to autonomously re-configure themselves, favoring capacity or QoS, depending on the amount of travel demand coming from users.
Networking and Internet Architecture
AMoDSim: An Efficient and Modular Simulation Framework for Autonomous Mobility on Demand
Urban transportation of next decade is expected to be disrupted by Autonomous Mobility on Demand (AMoD): AMoD providers will collect ride requests from users and will dispatch a fleet of autonomous vehicles to satisfy requests in the most efficient way.
Multiagent Systems 90B06 H.4.2; I.6.3; I.2.11
