Abstract-This paper presents a comparison of Stop & Go control algorithms, which deal with car following scenarios in urban environments. Since many vehicle/road interaction factors (road slope, aerodynamic forces) and actuator dynamics are very poorly known, two robust control strategies are proposed: an intelligent PID controller and a fuzzy controller. Both model-free techniques will be implemented and compared in simulation to show their suitability for demanding scenarios.
Model free techniques like intelligent PID controller and a fuzzy controller are implemented in REF .
Model-free control techniques for Stop & Go systems
13th International IEEE Conference on Intelligent Transportation Systems
13th International IEEE Conference on Intelligent Transportation Systems
Computer Science Engineering