Please use this identifier to cite or link to this item:
https://ipweaq.intersearch.com.au/ipweaqjspui/handle/1/7759| Type: | Audio Visual Recording |
| Title: | Using AI for Sealed Road Maintenance Management |
| Authors: | Hegedus, Stephen |
| Tags: | Road Maintenance |
| Issue Date: | 2022 |
| Copyright year: | 2022 |
| Publisher: | Institute of Public Works Engineering Australasia Queensland |
| Abstract: | This presentation will provide an overview into a research and design project looking at using AI and machine learning for the purposes of road maintenance management and renewal planning for sealed roads. The ultimate outcome of the project is to use the findings to influence how the technology could be developed in order to achieve practical outcomes for Local Government (increased efficiencies and cost effectiveness), and improved road safety for the community. |
| URI: | https://drive.google.com/file/d/1dvCH2mmc5KEilyrKHpd44B5Byl623d2y/view?usp=sharing https://ipweaq.intersearch.com.au/ipweaqjspui/handle/1/7759 |
| Appears in Collections: | AMS22: Presentations |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 5.1 Stephen Hegedus.pdf | 1.57 MB | Adobe PDF |  View/Open |
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