Energy-Efficient Connected and Automated Vehicles: Real-Time Traffic Prediction-Enabled Co-Optimization of Vehicle Motion and Powertrain Operation

Yunli Shao, Zongxuan Sun

Research output: Contribution to journalArticlepeer-review

Abstract

Connected and automated vehicles (CAVs) can bring energy, mobility, and safety benefits to transportation. Energy savings can be achieved by solving a mathematical optimization problem for a lookahead horizon using previewed traffic information enabled by connectivity. However, it is challenging to predict shortterm traffic, especially for mixed-traffic scenarios, where both connected and unconnected vehicles are on the road.

Original languageEnglish (US)
Article number9465110
Pages (from-to)47-56
Number of pages10
JournalIEEE Vehicular Technology Magazine
Volume16
Issue number3
DOIs
StatePublished - Sep 1 2021

Bibliographical note

Publisher Copyright:
© 2005-2012 IEEE.

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