Mitigation of Stop-and-Go Traffic Waves with Intelligent Vehicles at Low Market Penetration Rates

Irene Martínez

doi:10.1109/ITSC57777.2023.10422070

Mitigation of Stop-and-Go Traffic Waves with Intelligent Vehicles at Low Market Penetration Rates

^*Corresponding author for this work

Traffic Systems Engineering

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Abstract

Stop-and-go traffic patterns sometimes manifest on roadways without any discernible congestion triggers. Such a phenomenon has been observed on homogeneous ring roads without lane changes. With the development of vehicle technology and measurement sensors, multiple researchers have focused on studying the influence of automated vehicles on traffic. In particular, there is a focus on the design of string-stable adaptive cruise control (ACC) strategies to dampen stop-and-go waves. However, there is no systematic comparison among different strategies nor a quantitative analysis of the oscillation reduction at low market penetration rates (MPRs). This paper proposes a framework to evaluate the impact of low MPRs across multiple ACC strategies. Then, through Monte Carlo simulations, our findings indicate that multi-vehicle anticipation technology yields nearly equivalent benefits in mitigating stop-and-go patterns compared to full vehicular connectivity, even at a modest MPR of 1%.

Original language	English
Title of host publication	2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023
Publisher	IEEE
Pages	3493-3498
Number of pages	6
ISBN (Electronic)	9798350399462
DOIs	https://doi.org/10.1109/ITSC57777.2023.10422070
Publication status	Published - 2023
Event	26th IEEE International Conference on Intelligent Transportation Systems, ITSC 2023 - Euskalduna Conference Centre, Bilbao, Spain Duration: 24 Sept 2023 → 28 Sept 2023 https://2023.ieee-itsc.org/

Publication series

Name	IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
ISSN (Print)	2153-0009
ISSN (Electronic)	2153-0017

Conference

Conference	26th IEEE International Conference on Intelligent Transportation Systems, ITSC 2023
Abbreviated title	IEEE ITSC 2023
Country/Territory	Spain
City	Bilbao
Period	24/09/23 → 28/09/23
Internet address	https://2023.ieee-itsc.org/

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

adaptive cruise control
low market penetration rates
multivehicle anticipation
stop and go

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10.1109/ITSC57777.2023.10422070

Mitigation of stop-and-go traffic waves with intelligent vehicles at low market penetration ratesFinal published version, 3.13 MB

Cite this

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title = "Mitigation of Stop-and-Go Traffic Waves with Intelligent Vehicles at Low Market Penetration Rates",

abstract = "Stop-and-go traffic patterns sometimes manifest on roadways without any discernible congestion triggers. Such a phenomenon has been observed on homogeneous ring roads without lane changes. With the development of vehicle technology and measurement sensors, multiple researchers have focused on studying the influence of automated vehicles on traffic. In particular, there is a focus on the design of string-stable adaptive cruise control (ACC) strategies to dampen stop-and-go waves. However, there is no systematic comparison among different strategies nor a quantitative analysis of the oscillation reduction at low market penetration rates (MPRs). This paper proposes a framework to evaluate the impact of low MPRs across multiple ACC strategies. Then, through Monte Carlo simulations, our findings indicate that multi-vehicle anticipation technology yields nearly equivalent benefits in mitigating stop-and-go patterns compared to full vehicular connectivity, even at a modest MPR of 1%.",

keywords = "adaptive cruise control, low market penetration rates, multivehicle anticipation, stop and go",

author = "Irene Mart{\'i}nez",

note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. ; 26th IEEE International Conference on Intelligent Transportation Systems, ITSC 2023, IEEE ITSC 2023 ; Conference date: 24-09-2023 Through 28-09-2023",

year = "2023",

doi = "10.1109/ITSC57777.2023.10422070",

language = "English",

series = "IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC",

publisher = "IEEE",

pages = "3493--3498",

booktitle = "2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023",

address = "United States",

url = "https://2023.ieee-itsc.org/",

}

Martínez, I 2023, Mitigation of Stop-and-Go Traffic Waves with Intelligent Vehicles at Low Market Penetration Rates. in 2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023. IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, IEEE, pp. 3493-3498, 26th IEEE International Conference on Intelligent Transportation Systems, ITSC 2023, Bilbao, Spain, 24/09/23. https://doi.org/10.1109/ITSC57777.2023.10422070

Mitigation of Stop-and-Go Traffic Waves with Intelligent Vehicles at Low Market Penetration Rates. / Martínez, Irene.
2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023. IEEE, 2023. p. 3493-3498 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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N2 - Stop-and-go traffic patterns sometimes manifest on roadways without any discernible congestion triggers. Such a phenomenon has been observed on homogeneous ring roads without lane changes. With the development of vehicle technology and measurement sensors, multiple researchers have focused on studying the influence of automated vehicles on traffic. In particular, there is a focus on the design of string-stable adaptive cruise control (ACC) strategies to dampen stop-and-go waves. However, there is no systematic comparison among different strategies nor a quantitative analysis of the oscillation reduction at low market penetration rates (MPRs). This paper proposes a framework to evaluate the impact of low MPRs across multiple ACC strategies. Then, through Monte Carlo simulations, our findings indicate that multi-vehicle anticipation technology yields nearly equivalent benefits in mitigating stop-and-go patterns compared to full vehicular connectivity, even at a modest MPR of 1%.

AB - Stop-and-go traffic patterns sometimes manifest on roadways without any discernible congestion triggers. Such a phenomenon has been observed on homogeneous ring roads without lane changes. With the development of vehicle technology and measurement sensors, multiple researchers have focused on studying the influence of automated vehicles on traffic. In particular, there is a focus on the design of string-stable adaptive cruise control (ACC) strategies to dampen stop-and-go waves. However, there is no systematic comparison among different strategies nor a quantitative analysis of the oscillation reduction at low market penetration rates (MPRs). This paper proposes a framework to evaluate the impact of low MPRs across multiple ACC strategies. Then, through Monte Carlo simulations, our findings indicate that multi-vehicle anticipation technology yields nearly equivalent benefits in mitigating stop-and-go patterns compared to full vehicular connectivity, even at a modest MPR of 1%.

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Mitigation of Stop-and-Go Traffic Waves with Intelligent Vehicles at Low Market Penetration Rates

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Keywords

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