Microscopic traffic dynamics and platoon control based on bond graph modeling

Modeling of traffic dynamic is important for the good traffic management which leads to sustainable transport. Traffic models are classified based on level of details they provide as microscopic models and macroscopic models. A microscopic model of traffic flow describes the behavior of individual vehicle in response to motion of the vehicle preceding it, while, a macroscopic model describes the behavior of the traffic as a whole, but the behavior of individual vehicle is not described. In the present work, we develop a microscopic model of car-following behavior of the vehicles and introduce the sub-microscopic model of traffic, in which the dynamic model of each vehicle is developed, which is not considered in most of the existing microscopic models. Then, a model based control strategy is proposed for the local control of the platoon of the intelligent autonomous vehicles (IAVs). This model based control strategy analytically provides the calculation of necessary effort for the follower IAV to maintain the safe inter-distance with the leader IAV.