Discovery Early Career Researcher Award - Grant ID: DE160100007

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE160100007

Funding Status
Closed

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Funded Activity Summary

The Future of Urban Routing and Navigation. This project aims to develop new efficient techniques for mixed-initiative routing in large transportation networks. Current state-of-the-art techniques for real-world journey planning take user requirements as input and generate a few proposed journeys as output. However, the most useful decision-support systems are mixed-initiative: the Information Technology (IT) system and user work together to find the best decisions. In the context of journey planning, interaction with the user is needed to find the best combination of private, public and active transportation; understand trade-offs between cost, starting time, journey time, convenience and reliability; and react to delays and disruptions. This project aims to develop dynamic decision-support systems that will help travellers reach their destinations cheaper, faster and more conveniently.

Funded Activity Details

Start Date: 27-06-2016

End Date: 31-12-2019

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $303,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Artificial Intelligence and Image Processing not elsewhere classified | Decision Support and Group Support Systems | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Road Public Transport | Road Passenger Movements (excl. Public Transport) | Rail Passenger Movements |

Other Keywords

Artificial Intelligence and Image Processing | Artificial Intelligence and Image Processing not elsewhere classified | Decision Support and Group Support Systems | Rail Passenger Movements | Road Passenger Movements (excl. Public Transport) | Road Public Transport

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