Ecological (eco) driving features distinct driving behavior that aims at improving fuel economy of a car and
consequently reducing carbon dioxide emissions. Various assistance systems have recently been developed to promote ecodriving among drivers. Through anticipation of the preceding traffic, an eco-driver smoothly regulates the velocity and headway of the car at some safe levels. Limited use of accelerator and brake often causes an eco-driven car slower than other vehicles and affects behavior of its following traffic greatly. This paper investigates the influence of eco-driving on the fuel consumption of vehicles in the following traffic. Performance of the eco-driven car and vehicles behind it are observed in various traffic flow conditions through simulation in AIMSUN microscopic traffic simulator.
Dynamic engine emission modeling has been attracting a lot of attention over the last years. Applications of dynamic engine modeling include model based calibration or rapid measurement, i.e. methods for saving measurement time.Whereas physical models usually show a high complexity, data driven models are estimated with significantly less effort. In this paper, we show the use of a multichannel sinusoidal excitation sequence for a nonlinear dynamic emission model. This training sequence is used for modeling transient emissions and exhaust temperature. As validation, a measured trace from a new European driving cycle and a FTP cycle is used.