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Chapitre D'ouvrage Année : 2022

A holistic approach to the energy-efficient smoothing of traffic via autonomous vehicles

Résumé

The technological advancement in terms of vehicle on-board sensors and actuators, as well as for infrastructures, open an unprecedented scenario for the management of vehicular traffic. We focus on the problem of smoothing traffic by controlling a small number of autonomous vehicles immersed in the bulk traffic stream. Specifically, we aim at dissipating stop-and-go waves, which are ubiquitous and proven to increase fuel consumption tremendously and reduce. Our approach is holistic, as it is based on a large collaborative effort, which ranges from mathematical models for traffic and control all the way to building infrastructures capable of measuring energy efficiency and providing real-time data. Such an approach allows to clearly set and measure a metric for success in the form of a reduction of at least 10% of fuel consumption using 5% of autonomous vehicles immersed in bulk traffic. The chapter illustrates the overall approach and provides simulation results on a tuned microsimulator for the California I-210.
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Dates et versions

hal-04360395 , version 1 (21-12-2023)

Identifiants

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Amaury Hayat, Xiaoqian Gong, Jonathan Lee, Sydney Truong, Sean Mcquade, et al.. A holistic approach to the energy-efficient smoothing of traffic via autonomous vehicles. Intelligent Control and Smart Energy Management, 181, Springer International Publishing, pp.285-316, 2022, Springer Optimization and Its Applications, ⟨10.1007/978-3-030-84474-5_10⟩. ⟨hal-04360395⟩
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