In this paper a microscopic hybrid automaton for Adaptive Cruise Control (ACC) exhibiting psycho-physical human characteristics is introduced. The objective is to let the ACC mimic the human behavior to improve passenger experience, while assuring classical ACC properties. The human-inspired automaton is combined with a predictive control strategy in order to meet physical and safety constraints, as well as fuel minimization. An optimization problem is then formulated according to efficiency and constraints satisfaction. A receding horizon approach is implemented to solve the problem. Simulations are performed in order to validate the control law and to show the efficacy of the proposed approach.

A Microscopic Human-Inspired Adaptive Cruise Control for Eco-Driving

Mirabilio M.
;
Iovine A.;De Santis E.;Di Benedetto M. D.;Pola G.
2020-01-01

Abstract

In this paper a microscopic hybrid automaton for Adaptive Cruise Control (ACC) exhibiting psycho-physical human characteristics is introduced. The objective is to let the ACC mimic the human behavior to improve passenger experience, while assuring classical ACC properties. The human-inspired automaton is combined with a predictive control strategy in order to meet physical and safety constraints, as well as fuel minimization. An optimization problem is then formulated according to efficiency and constraints satisfaction. A receding horizon approach is implemented to solve the problem. Simulations are performed in order to validate the control law and to show the efficacy of the proposed approach.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11697/152020
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