@inbook{00dbc5b8be7140d1b5b1c700fdd1d84f,
title = "Enabling Transportation Networks with Automated Vehicles: From Individual Vehicle Motion Control to Networked Fleet Management",
abstract = "The technologies and models linking individual vehicle control and network operations, despite their critical role in determining whether automated vehicle (AV) technologies can eventually evolve to massive real-world deployments, seem to be an under-represented topic at the Automated Vehicles Symposium (AVS) in the past years. This chapter documents lecture notes of the first AVS breakout session on network modeling, which discusses the latest developments in network AV operations, modeling and simulation from academia, government, and industry perspectives. Specifically, the consensus reached in an attempt to answer questions on how to manage AV fleets in a networked environment, and control mixed traffic to optimally utilize network capacity and challenges ahead, as well as directions for research, practice and policy making are summarized.",
keywords = "AV fleet management, Network capacity, Network modeling, Vehicle control",
author = "Lily Elefteriadou and Blaine Leonard and Lili Du and Wei Ma and Jun Liu and Kuilin Zhang and Jiaqi Ma and Ziqi Song and Xiaopeng Li and Sevgi Erdogan",
note = "Publisher Copyright: {\textcopyright} 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.",
year = "2020",
doi = "10.1007/978-3-030-52840-9_5",
language = "English (US)",
series = "Lecture Notes in Mobility",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "49--62",
booktitle = "Lecture Notes in Mobility",
address = "Germany",
}