Improved Driver Support in Smart Cities to Reduce the Environmental Impact of Trucks : Designing a concept for 2030

Sammanfattning: The transport industry is a key contributor to carbon dioxide emissions and climate change and heavy-duty vehicles are responsible for a quarter of the emissions from road transport in the EU. One way of reducing the energy consumption of a truck is improving driving skills by minimizing breaking for example. When cities become smarter using information and communication technologies more data is available regarding the traffic situation which can be used to give the driver more information to make better driving decisions. The aim of the study is to identify and formulate how a Scania truck will guide a driver in a smart city with the goal to reduce the environmental impact.  The method used was the double diamond design process model with the four phases discover, define, develop and deliver. Discovering was done through interviewing personnel from the Swedish Transport Administration and Stockholm municipality which set the technological possibilities for the smart city Stockholm in 2030. In the define phase drivers were interviewed and three functions were chosen to proceed with further for a concept: traffic lights, intersections and bus lanes. Both drivers and experts were consulted in the develop phase before completing the final concept in the deliver phase.  The results show that the smart city Stockholm in 2030 will have a more dynamic traffic situation that the driver will have to adapt to. Experienced drivers will not be able to choose the best route and optimize speed without using the new information shared by the city. The result is a concept with the new information presented using a Head-Up Display (HUD) which puts the information in the drivers view range. Information shared in the HUD includes, time to green for traffic lights, warning for approaching vehicles from out of sight streets in intersections, access to bus lanes and recommended speed for intersections and traffic lights to avoid unnecessary stops.