NDLI: A fuel economic model predictive control strategy for a group of connected vehicles in urban roads

Content Provider	IEEE Xplore Digital Library
Author	HomChaudhuri, B. Vahidi, A. Pierluigi Pisu
Copyright Year	2015
Description	Author affiliation: Dept. of Automotive Eng., Clemson Univ., Greenville, SC, USA (Pierluigi Pisu) \|\| Automotive Eng., Clemson Univ., Greenville, SC, USA (HomChaudhuri, B.) \|\| Dept. of Mech. Eng., Clemson Univ., Clemson, SC, USA (Vahidi, A.)
Abstract	The advancements in communication, sensing, and computing has enabled the development of connected vehicle systems where improved decision and control strategies are enabled with the aid of information exchange within the vehicular system. In this paper, we consider a connected vehicle system and develop fuel economic control strategies for a group of vehicles in congested urban road conditions. We exploit the Signal Phase and Timing (SPAT) information from the traffic lights and utilize model predictive control with a modified cost to reduce stopping at red lights and improve the fuel economy for a group of vehicles. The simulation results indicate the improvement in group performance for our proposed method.
Starting Page	2741
Ending Page	2746
File Size	607657
Page Count	6
File Format	PDF
e-ISBN	9781479986842
DOI	10.1109/ACC.2015.7171149
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Vehicles Fuels Roads Economics Acceleration Predictive control Connected vehicles
Content Type	Text
Resource Type	Article

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