Fedasen in the Spotlight
AI-Driven Road Asset Management: A Case Study for the Victorian Department of Transport and Planning
(Presentation)
The Victorian Department of Transport and Planning (DTP), in collaboration with Fedasen, has implemented the FiRA (Fedasen Intelligent Road Analyser) platform to enhance road asset management through the use of AI, deep learning, and geospatial technologies. FiRA automates the detection, classification, and condition assessment of road assets using aerial imagery and 360° video, achieving near-complete coverage and 99.96% data accuracy. Within 18 months, over 2.5 million assets across 138 types were classified and georeferenced, significantly improving data quality and aligning with DTP’s asset hierarchy standards.
The project was presented at the IPWEA International Public Works Conference 2025 (IPWC 2025) by Fedasen and DTP.
Nik Aloustani, Fedasen
Carmen Huynh, Department of Transport and Planning, Melbourne, VICTORIA, Australia
AI-Driven Road Asset Management: A Case Study for the Victorian Department of Transport and Planning (122952)
Nik Aloustani, Fedasen
Carmen Huynh, Department of Transport and Planning, Melbourne, VICTORIA, Australia
Active Assessment of Footpath and Bikeway Networks: A Case Study of AI-Driven FAST Technology Implementation (122985)
Nik Aloustani, Rastin Zarrin, David Paine
FEDASEN, Sydney, NSW, Australia
Fedasen Makes Road Maintenance Easier Than Ever Using 360 Cameras
Traditional road maintenance typically involves sending out teams to conduct in-person inspections of roadways. This is time-consuming, expensive and bad for the environment. Australian road mapping software company, Fedasen, is here to bring road maintenance into the 21st century.
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KAIS Wins IPWEA-QNT Excellence Award for Asset Management
We’re proud to announce that KAIS (Kerbside Allocation Information System) has been awarded the 2023 IPWEA-QNT Excellence Award in the Asset Management category.
KAIS is a tailored solution built on Fedasen’s FiRA platform, specifically developed for Brisbane City Council to support advanced parking management. By integrating up-to-date data, geospatial intelligence, and intuitive user interfaces, KAIS empowers council teams to make smarter, data-driven decisions about kerbside space allocation and usage.
This recognition highlights KAIS’s innovative approach to urban asset management and its impact on improving operational efficiency, community accessibility, and sustainable transport planning.
AI-assisted technology will capture kerbside data on Auckland’s roads
Auckland Transport (AT) has begun collating a full dataset of kerbside space allocation using AI-assisted technology called the Intelligent Road Analyser (IRA).
The platform is revolutionising kerbside and road asset data collection in Auckland by delivering a comprehensive GIS dataset that identifies all parking restrictions and signage across the city’s roads.
Using AI, machine learning, computer vision, and geospatial technologies, IRA enables fully automated, high-resolution data capture via roof-mounted ultra-HD cameras and GNSS/GPS receivers on standard vehicles—eliminating the need for manual inspections or traffic management.
Note: Fedasen’s IRA was late and was renamed to FiRA.
