Dynamic Programing-based Green Speed Advisory System Design for Mixed Platooning Connected Vehicles

Environmental concerns and related strategies, push hybrid and electric vehicles to have more market share due to their emission advantage which depends on electric carbon intensity. The traffic is getting mixed according to energy sources by increasing number of electric vehicles in use. On the other hand, smart city applications by the effective use of communication systems enable the development of green energy management systems. In this paper, a dynamic programing-based optimization system is developed to decrease Well-to-Wheels emissions of a platoon which consists of conventional and electric vehicles. The design variable of the optimizer is the speed profile and the objective function is the total emission. Both for conventional and electric vehicles, emission maps are developed for model-based optimization. For the defined use case validated results which were acquired by testing the vehicles, show that the optimizer can decrease the total emissions of the vehicles by 19.8%.