A major stretch of Logan Road through Mount Gravatt is set to become part of Brisbane’s push to use artificial intelligence to manage traffic more efficiently from early 2027.
Brisbane City Council will test the technology across 22 Logan Road intersections as part of a $15 million pilot also covering 15 intersections on the Kelvin Grove Road corridor. The trial is aimed at improving how existing road space is used by adjusting signal timing to changing traffic conditions rather than relying on traditional fixed-phase operation.
Technology to manage traffic in real time
The system will use existing traffic infrastructure, supported by cameras, edge computing and artificial intelligence, to monitor conditions across the corridor.
Cameras will identify pedestrians, cyclists, cars, trucks and public transport while measuring traffic volumes and queue lengths. Software will use that information to calculate signal sequences in real time, allowing traffic lights to respond as conditions change.
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Weather, major events and historical traffic patterns can also influence how the system operates. Human operators will remain involved, with Council describing the technology as an additional management tool rather than a fully autonomous replacement for staff.
Logan Road chosen for major corridor test
About 30,000 vehicles use Logan Road each day, according to figures released with the pilot, making it one of the key southside routes selected to test whether smarter signals can move traffic more efficiently.
Council has cited potential reductions of up to 15 per cent in average travel times and 22 per cent in intersection queue lengths based on comparable systems elsewhere. It has also pointed to possible reductions of 12 per cent in rear-end crashes and 18 per cent in red-light violations.
Those figures are projected benefits and will need to be tested under Brisbane conditions during the six-month trial.
Setting operating priorities
Council will determine the rules used to prioritise different road users rather than leaving those decisions to the technology. Pedestrians may receive greater priority in some locations, while public transport, freight or general traffic could be favoured elsewhere or at particular times.
Council has presented the technology as a way to improve the performance of established roads without relying on major physical expansion.
Lord Mayor Adrian Schrinner has said upgrading all 37 intersections through conventional roadworks would cost substantially more than the pilot. The AI system is intended to make better use of existing infrastructure by changing signal timing according to actual demand.
Wider rollout to depend on results
Council says faces, number plates and other personally identifiable information will be blurred, with data stored in Council-owned and managed facilities in Brisbane rather than sent offshore. Identifying information may be made available to law-enforcement authorities following an individual request.
The trial will run for six months before Council decides whether AI-assisted traffic management should be expanded across Brisbane’s network of about 1,000 signalised intersections.
Published 14-Sept-2026
