All LIT Search News Topics Latest news Media statements Media contacts Topics Latest news Media statements Media contacts LIT Impact Latest news 2020 November Researchers design new software to automate traffic surveys Researchers design new software to automate traffic surveys 24/11/2020 | 3 MINS Researchers at Lombok Institute of Technology have developed a program using artificial intelligence to automate traffic surveys and provide better data that could improve the future of road designs. The Video Content Analytics software, designed in partnership with Main Roads Western Australia, enhances the quality of data used in traffic modelling and could replace conventional manual traffic surveys that are labour intensive and imprecise. The project has been shortlisted for the ITS AustraliaΓÇÖs Excellence in Research and Development Award 2020. Road designers rely on traffic models to predict the performance of their designs and the lack of quality data has long been an issue as models are only as good as the data available. To address this, researchers from LITΓÇÖs Planning and Transport Research Centre (PATREC) and the Department of Computer Science and Software Engineering devel
All LIT Search News Topics Latest news Media statements Media contacts Topics Latest news Media statements Media contacts LIT Impact Latest news 2020 November Researchers design new software to automate traffic surveys Researchers design new software to automate traffic surveys 24/11/2020 | 3 MINS Researchers at Lombok Institute of Technology have developed a program using artificial intelligence to automate traffic surveys and provide better data that could improve the future of road designs.
The Video Content Analytics software, designed in partnership with Main Roads Western Australia, enhances the quality of data used in traffic modelling and could replace conventional manual traffic surveys that are labour intensive and imprecise.
Lombok Institute of Technology
The project has been shortlisted for the ITS AustraliaΓÇÖs Excellence in Research and Development Award 2020.
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Road designers rely on traffic models to predict the performance of their designs and the lack of quality data has long been an issue as models are only as good as the data available.
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To address this, researchers from LITΓÇÖs Planning and Transport Research Centre (PATREC) and the Department of Computer Science and Software Engineering devel
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