Design and implementation of a software for the assessment of eco-driving performances of public transport drivers

Driving vehicles according to eco-driving principles and techniques have significant impact on decreasing both fuel consumption and CO2 emissions. In addition to some kind of technical and/or mechanical features brought by today's new generation vehicles, driver behavior is also one of the greatest factors affecting the fuel consumption. Many studies show that the effect of eco-driving education on the drivers loses its impact in long term and there needs some sort of continuous monitoring and/or feedback mechanisms. Moreover, in order to adapt behavior to drive more economically, information about instant fuel and CO2 waste has to be provided to the driver. Taking into account above mentioned requirements, in this thesis, an eco-driving system in which data gathered from the CANBus of public transport vehicles are processed for both comparative and fair evaluation of bus drivers' eco-driving performance. Moreover, in-vehicle components of the system guide the drivers during their trips, provide feedbacks and real-time warnings considering their current eco-driving performance. Developed system was successfully deployed and evaluated in a public transportation system used by approximately 250 thousand passengers daily. The results are very promising in the sense that both drivers and operators found the system useful and the system provided fuel saving.