Every day, large amounts of data are being collected. In the case of the freight transport industry, data from GPS-transmitters on the trucks and data on the shipments is being collected. This means that freight companies have data on exactly where and how fast the freight is moving Danish roads. Due to the increased attention on freight, especially in relation to congestion and emissions, as well as demands from the freight industry for better conditions in relation to more parking and better roads for trucks, it is of interest to utilise the data collected to reduce emissions and/or congestion.
By using the data collected by private freight companies, the aim of this project is to forecast the amount of freight requiring transportation between warehouses in Denmark. The private freight companies have a big focus on optimising the logistics, and a specific focus area is minimising the number of empty trucks driving between warehouses. The main issues with empty trucks are the excess emissions they cause, the potential congestions, and, more importantly, the added economic costs. The costs of empty trucks are not trivial, in that they cost both in fuel, maintenance and driver salaries. By knowing the amount of goods, requiring transportation, in advance, it will be possible allocate trucks to the necessary locations in advance, thereby lowering the number of empty trips. To understand the demand for freight transport, the regional economic developments will be analysed, to understand the indicators, which can show the economic development trends, and correlate these with the freight transport data - both historic and real-time.