NIRA is a company based in Linköping and operates within the automotive industry. NIRA's Tire Grip Indicator is one of their products used to create friction values during normal driving conditions. This data is, together with additional sensor information from the vehicle, such as environmental sensors, collected in NIRA's cloud environment RSI. Utilising hundred of thousand of vehicles, several products are created and offered to the market. This master thesis will focus on the winter maintenance industry business where NIRA provides refined information to support decision making and quality control for the winter maintenance operations both in Sweden and internationally. The master thesis will be conducted in close cooperation with several actors active in the winter maintenance business within the scope of a collaboration project. The thesis explores how road surface information can be used as decision support for actors within road maintenance. The thesis starts with a literature study describing different perspectives of winter maintenance and its relation to decision support systems. Through the study, several decision support systems are used to analyse the road climate and the maintenance operations in the city of Gothenburg. The analysis takes the form of a case study where each day during the winter season is analysed. Several features are extracted from the cases and are used to classify each case as one of 6 categories. Finally, the cases are valued within three cost areas: traffic accidents, accessibility, and fuel consumption. The findings of the thesis show that the different systems within the project fulfil different functions in the work for more efficient winter road maintenance operations, where the forecasting tools can be seen as tools for planning measures. At the same time, friction data from fleets of connected vehicles can help evaluate the outcome of maintenance actions. This applies especially to the possibility of implementing and evaluating preventive measures. The findings also show several potential benefits in using road surface forecasts and road friction data in terms of financial, socio-economic, and environmental perspectives.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-193489 |
| Date | January 2023 |
| Creators | Lindgren, Erik |
| Publisher | Linköpings universitet, Institutionen för datavetenskap |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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