Discovery Early Career Researcher Award - Grant ID: DE200101310

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE200101310

Funding Status
Active

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Funded Activity Summary

Dimension-reduced Reinforcement Learning for Large-scale Fleet Management. This project aims to address the problems in large-scale fleet management to ensure the efficiency of tomorrow’s transportation models, such as on-demand ride-hailing and mobility-as-a-service. The expected outcomes of this project include improved techniques for optimising the utility of large fleets of vehicles, and particularly robust dimension-reduced reinforcement learning algorithms that are capable of handling the complex dynamics of supply and demand in transportation. The results should advance both research and technology in academia and the transportation industry and will also provide significant benefits to Australia and the international community by enhancing the energy-efficiency of and access to the mobility of the future.

Funded Activity Details

Start Date: 04-06-2021

End Date: 03-06-2027

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $426,918.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Pattern Recognition and Data Mining | Decision Support and Group Support Systems | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Productivity (excl. Public Sector) | Road Public Transport | Expanding Knowledge in the Information and Computing Sciences |

Other Keywords

Artificial Intelligence and Image Processing | Decision Support and Group Support Systems | Expanding Knowledge in the Information and Computing Sciences | Pattern Recognition and Data Mining | Productivity (excl. Public Sector) | Road Public Transport

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