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.
A Mesoscopic Human-Inspired Adaptive Cruise Control for Eco-Driving
IEEE Transactions on Intelligent Transportation Systems ; 24 , 9 ; 9571-9583
2023-09-01
1109302 byte
Article (Journal)
Electronic Resource
English
Extending Adaptive Cruise Control to Adaptive Driving Strategies
Transportation Research Record | 2007
|Extending Adaptive Cruise Control to Adaptive Driving Strategies
Online Contents | 2007
|Driving Assistance Provided by Adaptive Cruise Control
British Library Conference Proceedings | 2004
|Driving assistance provided by adaptive cruise control
Tema Archive | 2004
|