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Gritty decisions need Smart Modelling
| 题名： | Gritty decisions need Smart Modelling |
| 正文语种： | eng |
| 摘要： | In 2019/20 the UK county of Kent, south-east of London, laid down around 12,500tonnes of grit. It is critical for the county to deploy gritting resources in the most cost-efficient manner while ensuring the safety of road users. Road maintenance contractor Amey has been working with Kent to achieve both goals. The focus of the collaborative work has been Amey's pioneering Smart Winter modelling, developed by Amey's consulting division. Smart Winter uses artificial intelligence models to predict road conditions 24 hours ahead of time in order to analyse geographical data along with road surface temperature data from a network of sensors. The accuracy rate is 90% to within 1℃. This data analysis has allowed for a wholesale redesign of Kent's gritting domains to maximise their effectiveness and efficiency through targeting resources to stretches of road that need them most. The unnecessary -surplus - gritting of roads that do not freeze is reduced and routes more susceptible to icing are treated more quickly. |
| 出版年： | 2022 |
| 期刊名称： | World highways |
| 卷： | 31 |
| 期： | Mar./Apr. |
| 页码： | 16-17 |
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