Safe human-inspired mesoscopic hybrid automaton for autonomous vehicles. (August 2017)

• Record Type: Journal Article
• Authors: Iovine, A.; Valentini, F.; De Santis, E.; Di Benedetto, M.D.; Pratesi, M.
• Is Part Of: Nonlinear analysis. Volume 25(2017)
• Page Start: 192
• Page End: 210
• Publication Date: 2017-08
• Subjects: Hybrid systems -- Mesoscopic model -- Adaptive cruise control (ACC) -- Vehicle control -- Vehicular networks; Nonlinear functional analysis -- Periodicals; Analyse fonctionnelle non linéaire -- Périodiques; Nonlinear functional analysis; Periodicals; 515.7248
• DOI: 10.1016/j.nahs.2016.08.008
• Languages: English
• ISSNs: 1751-570X

Abstract

Abstract: In this paper a mesoscopic hybrid model, i.e. a microscopic hybrid model that takes into account macroscopic parameters, is introduced for designing a human-inspired Adaptive Cruise Control. A control law is proposed with the design goal of replacing and imitating the behavior of a human driver in a car-following situation where lane changes are possible. First, a microscopic hybrid automaton model is presented, based on human psycho-physical behavior, for both longitudinal and lateral vehicle control. Then a rule for changing time headway on the basis of macroscopic quantities is used to describe the interaction among next vehicles and their impact on driver performance. Simulation results show the advantages of the mesoscopic model. A feasibility analysis of the needed communication network is also presented.