Residual salt models for decision support systems
|Coordinator||Statens väg- och transportforskningsinstitut - Statens väg och transportforskningsinstitut|
|Funding from Vinnova||SEK 300 000|
|Project duration||November 2018 - June 2019|
Purpose and goal
Dynamic forecast-controlled winter road maintenance Phase 1 & 2 (SBUF and BVFF projects) have been shown to increase productivity as road condition forecasts are integrated with route optimisation. To further develop and verify the residual salt forecasts could increase the cost-effectiveness. An operating residual salt forecast are expected to lead to a more sustainable winter road maintenance through reduced resource consumption (e.g. salt consumption and driving hours), increased quality of work, and accidents and queues can be avoided to an increasing extent.
Expected results and effects
The project aims to support road weather forecast providers in the development of their existing commercial products by gaining access to basic knowledge and advanced residual salt models. The knowledge that comes from this project can then be used to further develop their own algorithms to deliver residual salt forecasts to customers, i.e. road operators or their contractors.
Planned approach and implementation
As this project is part of the project "Dynamic forecast-controlled road maintenance - Phase 3 - Residual Salt Modelling", which was initiated in August 2018, the project has started with a literature summary of the residual salt models and data has begun to be compiled. This part of the project will primarily focus on developing and analysing a residual salt. In order to forecast residual salt, is it important to describe the amount of salt and liquid on the road surface, therefore will calculation models be verified against measurements of salt and liquid on different measuring sites.