Research Grant
[Cite as https://purl.org/au-research/grants/arc/LP220100226]
Researchers:
Alexander Paz
(Chief Investigator)
,
Dr Ashish Bhaskar
(Chief Investigator)
,
MD. MAZHARUL HAQUE
(Chief Investigator)
,
Professor Zuduo Zheng
(Chief Investigator)
,
Professor Zuduo Zheng
(Chief Investigator)
View all 8 related researchers
Brief description A real-time traffic signal system for safe and efficient intersections . Road traffic crashes result in 1,200 fatalities and another 36,500 injuries on Australian roads each year. Signalised intersections represent a high-risk node in a transportation network, but the current signal designs only consider efficiency but not safety. This project aims to unleash the power of artificial intelligence (AI) and integrate with the advanced extreme value models for proactive and efficient detection of crash risk in real-time. Its innovations lie on developing a novel traffic signal control system balancing safety and efficiency of signalised intersections. The proposed real-time traffic signal system will fundamentally transform the intersection operation and lead to reductions of road fatalities, injuries and emissions.
Funding Amount $126,839
Funding Scheme Linkage Projects
- PURL : https://purl.org/au-research/grants/arc/LP220100226
- ARC : LP220100226