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Energy-efficient Reactive and Predictive Connected Cruise Control

Authors :
Shen, Minghao
Dollar, R. Austin
Molnar, Tamas G.
He, Chaozhe R.
Vahidi, Ardalan
Orosz, Gabor
Publication Year :
2022

Abstract

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.<br />Comment: 18 pages, 12 figures, submitted to Transportation Research Part C: Emerging Technologies

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2210.04397
Document Type :
Working Paper