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

被引：2

作者：

Mirabilio, Marco ^{[1
]}

Iovine, Alessio ^{[1
]}

De Santis, Elena ^{[1
]}

Di Benedetto, Maria Domenica ^{[1
]}

Pola, Giordano ^{[1
]}

机构：

[1] Univ Aquila, Dept Informat Engn Comp Sci & Math, Ctr Excellence DEWS, Laquila, Italy

来源：

2020 EUROPEAN CONTROL CONFERENCE (ECC 2020) | 2020年

关键词：

Hybrid Automaton; Microscopic Models; Adaptive Cruise Control (ACC); Eco-driving; Model Predictive Control (MPC); fuel optimization; VEHICLES; MODEL; REDUCTION; ROADS;

D O I：

10.23919/ecc51009.2020.9143849

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：1808 / 1813

页数：6

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