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2020 | OriginalPaper | Chapter

Enabling Transportation Networks with Automated Vehicles: From Individual Vehicle Motion Control to Networked Fleet Management

Authors : Lily Elefteriadou, Blaine Leonard, Lili Du, Wei Ma, Jun Liu, Kuilin Zhang, Jiaqi Ma, Ziqi Song, Xiaopeng Li, Sevgi Erdogan

Published in: Road Vehicle Automation 7

Publisher: Springer International Publishing

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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.

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Footnotes
1
Each CV independently does the best response (such as chooses the shortest path) according to the real-time traffic information without routing coordination.
 
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Metadata
Title
Enabling Transportation Networks with Automated Vehicles: From Individual Vehicle Motion Control to Networked Fleet Management
Authors
Lily Elefteriadou
Blaine Leonard
Lili Du
Wei Ma
Jun Liu
Kuilin Zhang
Jiaqi Ma
Ziqi Song
Xiaopeng Li
Sevgi Erdogan
Copyright Year
2020
DOI
https://doi.org/10.1007/978-3-030-52840-9_5

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