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2023 | OriginalPaper | Chapter

Inconsistency of AV Impacts on Traffic Flow: Predictions in Literature

Authors : Xiaowei (Tom) Shi, Hao Liu, Meng Wang, Xiaopeng Li, Biagio Ciuffo, Daniel Work, David Kan

Published in: Road Vehicle Automation 10

Publisher: Springer Nature Switzerland

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Abstract

In the literature, automated vehicle (AV) modeling studies tend to depict positive impacts of AV technologies on traffic. However, recent field experiments of production AVs (production vehicles with automated driving features) showed negative impacts on traffic flow stability and capacity. These inconsistencies may hinder the development and deployment of AV technologies. To identify major causes of the discrepancy, a breakout session was held at the 2022 Transportation Research Board (TRB) Automated Road Transportation Symposium (ARTS). Leading researchers from academia, industry, and government agencies were invited to present their thoughts on the issue. This book chapter summarizes the essence of the presentations and discussions at the breakout session. It provides insights into the modeling and simulation of AVs, AV technology development, and traffic management in the era of AVs.

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Literature
go back to reference Hartmann, M., Motamedidehkordi, N., Krause, S., Hoffmann, S., Vortisch, P.: Impact of automated vehicles on capacity of the German freeway network. In: ITS World Congress, 2017Montr (2017) Hartmann, M., Motamedidehkordi, N., Krause, S., Hoffmann, S., Vortisch, P.: Impact of automated vehicles on capacity of the German freeway network. In: ITS World Congress, 2017Montr (2017)
go back to reference Kan, P.C., Imran, M.A., Murshed, M.T., X.K.: Field Experiment on the Impact of Automated Vehicles on Arterial Capacity – Case Study of Adaptive Cruise Control (ACC) (2022) Kan, P.C., Imran, M.A., Murshed, M.T., X.K.: Field Experiment on the Impact of Automated Vehicles on Arterial Capacity – Case Study of Adaptive Cruise Control (ACC) (2022)
Metadata
Title
Inconsistency of AV Impacts on Traffic Flow: Predictions in Literature
Authors
Xiaowei (Tom) Shi
Hao Liu
Meng Wang
Xiaopeng Li
Biagio Ciuffo
Daniel Work
David Kan
Copyright Year
2023
DOI
https://doi.org/10.1007/978-3-031-34757-3_13

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