Pérez de Madrid y Pablo, ÁngelMañoso Hierro, María CarolinaRomero Hortelano, Miguel2024-05-202024-05-202014https://hdl.handle.net/20.500.14468/12974In this paper we review the fundamentals of Adaptive Cruise Control / Stop-and-Go systems based on model predictive control theory. Driver’s decisions can be formulated as few very general constraints, for which the mathematical expression is derived in depth. The resulting control system can adjust a car velocity to maintain an intervehicle security distance, avoid collisions, stop and eventually accelerate, and observe other considerations such as passengers’ comfort without human intervention.eninfo:eu-repo/semantics/closedAccessFundamentals of the MPC approach to stop-and-go Adaptive Cruise Controlactas de congresoAdaptive cruise controlStop-and-goIntelligent vehiclesModel predictive control