A Mesoscopic Human-Inspired Adaptive Cruise Control for Eco-Driving
Résumé
Interconnected and autonomous vehicles are proven to be helpful in reducing traffic congestion and dangerous emissions while enhancing safety on our roads. In this context, the present paper introduces a human-inspired Adaptive Cruise Control dedicated to improving the passenger experience using Model Predictive Control and traffic macroscopic information. To better describe the characteristics of human drivers, first a human-inspired microscopic hybrid automaton is considered, and an optimization problem targeting consumption minimization and collision avoidance is designed with a receding horizon approach. Then, traffic macroscopic information is included in the controller definition so that a mesoscopic Adaptive Cruise Control model is obtained. Simulations showing the efficacy of the proposed approaches for safety and eco-driving are provided.
Fichier principal
A Mesoscopic Human-Inspired Adaptive Cruise Control for Eco-Driving.pdf (1.96 Mo)
Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)