A Closed-Loop Speed Advisory Model With Driver´s Behavior Adaptability for Eco-Driving

Providing drivers with speed advisories is an effective eco-driving method at signalized intersections. However, all current research on speed advisory models has excluded the driver´s behavior factor. In this paper, we focus on developing a speed advisory model that is able to adapt to the driver´s behavior for eco-driving. First, we propose a closed-loop speed advisory framework, with simulation results to show that the current model could not fit in the closed-loop implementation. Next, the continuous acceleration with explicit high velocity boundary (CAEHV) model is established to address the issues when the existing model is used. However, the simulation results for the CAEHV model are not fully satisfactory due to the existence of oscillations in actual speed trajectories. Third, the CAEHV with coasting (CAEHV-C) model is established, in which the vehicle coasting is applied to supplement cruising to avoid oscillations. Simulation results show that the fuel economy performance of the CAEHV-C model is improved by 4% when compared with the CAEHV model. It also shows that CAEHV-C performs the best in terms of the driver´s behavior adaptability.