ABSTRACT

This paper presents a simulation-optimization framework for quantifying and optimizing the energy savings of platooning in Connected and Autonomous Vehicle (CAV) environments. The optimization model determines vehicle-to-platoon assignments based on the location, speed, and destination of all vehicles and platoons on the freeway. The simulation model utilizes Vissim to implement the platooning decisions and capture the energy expended by each vehicle over its entire trip duration. An accurate energy consumption model is also developed based on a hybrid prediction formula for aerodynamic drag reduction in multi-vehicle formations. Results show that a system-wide energy savings of about 3% can be realized when platoons are formed strategically. The paper also examines individual decision-making for platooning and finds that a 2.2% to 2.6% system-wide energy saving can be achieved through decentralized decision-making, compared to 3% with prescribed platoon formation by a central authority. 

BIO

Dr. Eskioglu is a Professor of Industrial Engineering at the University of Arkansas. He has received a doctorate in industrial and systems engineering from the University of Florida, a master's degree in engineering business management from the University of Warwick in the United Kingdom, and a bachelor's degree in industrial engineering from Bogazici University in Turkey. His research is focused on the area of optimization with applications in transportation, logistics, supply chain management, and healthcare. His research has been sponsored by, among others, the U.S. Department of Transportation, the U.S. Department of Homeland Security, NASA, and the industry. He is a member of INFORMS and IISE and has served both of these professional societies in various leadership roles.