Energy-efficient Reactive and Predictive Connected Cruise Control

Autor:	Minghao Shen, Robert Austin Dollar, Tamas G. Molnar, Chaozhe R. He, Ardalan Vahidi, Gábor Orosz
Rok vydání:	2023
Předmět:	Control and Optimization Artificial Intelligence Automotive Engineering FOS: Electrical engineering electronic engineering information engineering Systems and Control (eess.SY) Electrical Engineering and Systems Science - Systems and Control
Zdroj:	IEEE Transactions on Intelligent Vehicles. :1-14
ISSN:	2379-8904 2379-8858
DOI:	10.1109/tiv.2023.3281763
Popis:	In this paper, we propose a framework for the longitudinal control of connected and automated vehicles traveling in mixed traffic consisting of connected and non-connected human-driven vehicles. Reactive and predictive controllers are proposed. Reactive controllers are given by explicit feedback control laws. In predictive controllers, the control input is optimized in a receding-horizon fashion, which depends on the predictions of motions of preceding vehicles. Beyond-line-of-sight information is obtained via vehicle-to-vehicle (V2V) communication, and is utilized in the proposed reactive and predictive controllers. Simulations utilizing real traffic data are used to show that connectivity can bring significant energy savings. 18 pages, 12 figures, submitted to Transportation Research Part C: Emerging Technologies
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40043d7d3ca0a1d6761ebf1f32bf9b43 https://doi.org/10.1109/tiv.2023.3281763 Zobrazit plný text záznamu