AAC 2022 Paper Abstract

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Paper MoAT4.4

Lakshmanan, Vinith Kumar (IFP Energies Nouvelles), Sciarretta, Antonio (IFP), Ganaoui-Mourlan, Ouafae (IFP Energies Nouvelles)

Cooperative Control in Eco-Driving of Electric Connected and Autonomous Vehicles in an Un-Signalized Urban Intersection

Scheduled for presentation during the Regular Session "Highly Automated and Connected Vehicular Systems-I" (MoAT4), Monday, August 29, 2022, 12:00−12:20, Ballroom

10th IFAC International Symposium on Advances in Automotive Control, August 28-31, 2022, Columbus, Ohio, USA

This information is tentative and subject to change. Compiled on April 25, 2024

Keywords Control, guidance and navigation of autonomous vehicles, Intelligent transportation systems

Abstract

This paper addresses the problem of finding the optimal Eco-Driving (ED) speed profile of an electric Connected and Automated Vehicle (CAV) in an isolated urban un-signalized intersection. The problem is formulated as a single-level optimization and solved using Pontryagin's Minimum Principle (PMP). Analytical solutions are presented for various conflicts that occur at an intersection. Cooperation is introduced amongst CAVs as the ability to share intentions. Two levels of cooperation, namely the Cooperative ED (C-ED) and Non-Cooperative (NC-ED) algorithms are evaluated, in a simulation environment, for energy efficiency with Intelligent Driver Model (IDM) as the baseline.

 

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