{"links":{"self":"http://dataportal.arc.gov.au/NCGP/API/grants/DE260101005"},"data":{"type":"grant-details","id":"DE260101005","attributes":{"code":"DE260101005","administering-organisation":"The University of Queensland","announcement-administering-organisation":"The University of Queensland","scheme-name":"Discovery Early Career Researcher Award","grant-status":"Active","funding-commencement-year":2026,"years-funded":3,"project-start-date":"2026-06-23","anticipated-end-date":"2029-06-22","grant-summary":"Make automated vehicles personalised and socialised. Automated vehicles struggle to adapt to human behaviours, creating safety risks, reducing public trust, and slowing their adoption. This project aims to develop a system that makes automated vehicles safer and easier to use by learning from human driving habits. It will create new ways for automated vehicles to interact smoothly with passengers and other road users. Expected outcomes include a personalised control system and cooperative methods that improve how automated vehicles work in traffic. These outcomes will lead to benefits like smoother traffic flow, lower emissions, and greater public confidence, supporting fair mobility and sustainable transport. This addresses a key obstacle to bringing automated vehicles into everyday life.","funding-current":500936.00,"funding-at-announcement":496923,"investigators-current":[{"title":"Dr","firstName":"Weiming","familyName":"Zhao","roleName":"Discovery Early Career Researcher Award","roleCode":"DECRA","isFellowship":true,"orcidIdentifier":"0000-0002-5481-8700 "}],"investigators-at-announcement":[{"title":"Dr","firstName":"Weiming","familyName":"Zhao","roleName":"Discovery Early Career Researcher Award","roleCode":"DECRA","isFellowship":true,"orcidIdentifier":"0000-0002-5481-8700 "}],"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":"350907","name":"Rail Transportation and Freight Services","type":"FOR20"},{"isPrimary":false,"code":"400512","name":"Transport Engineering","type":"FOR20"}],"socio-economic-objective":[{"code":"270299","name":"Environmentally Sustainable Transport Activities Not Elsewhere Classified","type":"SEO20"},{"code":"270302","name":"Autonomous Road Vehicles","type":"SEO20"},{"code":"270311","name":"Road Safety","type":"SEO20"}],"international-collaboration":["Greece"],"lief-register":[],"achievement-summary":null,"national-interest-test-statement":"Vehicles with low levels of automation are already on Australian roads, with trials of advanced automated vehicles underway. However, these vehicles often behave unnaturally and struggle to blend with human drivers and other road users. This raises safety risks and slows their widespread acceptance. This project addresses this by designing automated vehicles that adapt to individual driving styles, ensuring safety and comfort, while interacting naturally with others in mixed traffic, even cooperating when possible. The outcome of this project could improve road safety, driver confidence, and traffic efficiency, potentially reducing accident costs, increasing transport productivity and reducing emissions across Australia. Safer, more user-friendly automated vehicles could gain public trust, encouraging wider use and reducing congestion and emissions. The knowledge gained will be transferred to transport authorities (such as the Queensland Department of Transport and Main Roads, Austroads) and industry partners to develop practical guidelines for road trials and future regulations, and for the future when automated vehicles are widely available. This ensures automated vehicles meet human needs, and pave the way for a safer, more efficient transport future."}}}