{"links":{"self":"http://dataportal.arc.gov.au/NCGP/API/grants/FT250100337"},"data":{"type":"grant-details","id":"FT250100337","attributes":{"code":"FT250100337","administering-organisation":"The University of Queensland","announcement-administering-organisation":"The University of Queensland","scheme-name":"ARC Future Fellowships","grant-status":"Active","funding-commencement-year":2025,"years-funded":4,"project-start-date":"2026-06-01","anticipated-end-date":"2030-05-31","grant-summary":"From error-prone human driving to error-free superhuman-like self-driving . Automated vehicles (AVs) without human intervention are heralded to revolutionise transportation systems, but can make roads more dangerous for other users. This project aims to rigorously assess AV interactions with human drivers and vulnerable road users, by simulating dangerous traffic dynamics through augmented virtual testing. This cost-effective approach provides a one-stop solution for large-scale AV deployment. Expected outcomes include a ground-breaking AV testing platform that will start a  new paradigm for AV deployment, and an error-free motion planning method. These advances will help achieve the triple-zero goal—zero fatalities, serious injuries, and emissions—while positioning Australian AV research at the global forefront.","funding-current":1304847.00,"funding-at-announcement":1277027,"investigators-current":[{"title":"Prof","firstName":"Zuduo","familyName":"Zheng","roleName":"Future Fellowship","roleCode":"FT","isFellowship":true,"orcidIdentifier":"0000-0002-5289-2106 "}],"investigators-at-announcement":[{"title":"Prof","firstName":"Zuduo","familyName":"Zheng","roleName":"Future Fellowship","roleCode":"FT","isFellowship":true,"orcidIdentifier":"0000-0002-5289-2106 "}],"organisations-current":[{"organisationName":"The University of Queensland","roleName":"Administering Organisation","state":"QLD"}],"organisations-at-announcement":[{"organisationName":"The University of Queensland","roleName":"Administering Organisation","state":"QLD"}],"field-of-research":[{"isPrimary":true,"code":"3509","name":"Transportation, Logistics and Supply Chains","type":"FOR20"},{"isPrimary":false,"code":"350902","name":"Intelligent Mobility","type":"FOR20"},{"isPrimary":false,"code":"350908","name":"Road Transportation and Freight Services","type":"FOR20"},{"isPrimary":false,"code":"400512","name":"Transport Engineering","type":"FOR20"}],"socio-economic-objective":[{"code":"190311","name":"Management of Greenhouse Gas Emissions From Transport Activities","type":"SEO20"},{"code":"270309","name":"Road Passenger Movements (Excl. Public Transport)","type":"SEO20"},{"code":"270311","name":"Road Safety","type":"SEO20"}],"international-collaboration":["Germany","Japan","Sweden","United States of America"],"lief-register":[],"achievement-summary":null,"national-interest-test-statement":"Despite significant government investment, road safety in Australia has worsened, with road fatalities rising at a rate of nearly 4% since 2020. Recent data shows 1,327 road deaths, a 10.2% increase compared to the previous year, bringing the fatality rate 143% above the National Road Safety Strategy target. Traffic congestion costs are predicted to rise to $30 billion by 2030. Transportation systems, as the largest consumers of petroleum products, contribute over 80% of urban air pollution, which is a significant contributor to the global disease burden. On current trends, Australia is projected to reach only a 7% reduction in emissions by 2030, 19 percentage points short of the Paris Agreement's minimum target.\n\nAutomated vehicles (AVs) are seen as a key solution to these challenges, yet significant obstacles remain for integrating them into Australia's road network. The Fellowship aims to provide a one-stop solution for testing AVs, focusing on interactions with human drivers and vulnerable road users, which is essential for their large-scale deployment.\n\nThe project is expected to significantly impact policymakers, researchers, and transport authorities by supporting AV integration, improving road safety, productivity, and reducing environmental impact. Methods will be tested at RACQ test tracks and deployed with partners like Queensland’s Department of Transport and Main Roads and Brisbane City Council, preparing Brisbane for the 2032 Olympic and Paralympic Games."}}}