Development of display to optimize the fuel for transportation fleet

Abstract

As the fuel price is rising and the climate debate about global warming has taken off, the transportation sector has been forced to take action to reduce their usage of fuel. An important step to meet these new demands to become more fuel-efficient is to develop tools to help analyzing current fuel usage and find improvements that can be made to lower consumption. This thesis focuses on public transportation where many vehicles have Intelligent Transport System (ITS) installed, and where a small improvement of a few percentage can give a large benefit. In this thesis I will propose some ideas on how to use the data collected by the ITS to support bus-operators in their effort to improve efficiency. Further, the thesis will present a prototype application that implements a few of these ideas. The developed prototype can be used to summarize the collected information for different entities allowing insight about driving behavior and comparison of the entities such as drivers and vehicles. It will also elaborate on how to present such summaries visually and how to work with large dataset while trying to keep it user-friendly.