Longitudinal Control for closed loop simulation of Autonomous driving Vehicle

In level 2 automated cars, functioning breaks are currently present. New systems must be evaluated in a broad range of difficult scenarios in order to boost automation while assuring all-around safety. There are several disadvantages to validating these systems on real cars, including the time required to drive millions of kilometers, the danger involved in particular circumstances, and the high expense. Platforms for simulation show up as a suitable solution. In order to evaluate autonomous driving maneuvers and control methods, strong and trustworthy virtual environments are required. To that end, this study offers strategies which are created, adjusted, and verified using a custom simulation framework before being implemented in a real vehicle. A multibody vehicle model is used to calculate the simulation's dynamics. The usefulness of the suggested approach for creating and verifying longitudinal controllers for actual automated vehicles is demonstrated by a comparison of outcomes.