Quantifying the Impact of Automated Vehicles on Traffic

Martin Sigl; Binnert Prins; Christoph Schutz; Sebastian Wagner; Frederik Schulte; Daniel Watzenig

doi:10.1109/IAVVC57316.2023.10328115

Quantifying the Impact of Automated Vehicles on Traffic

Martin Sigl, Binnert Prins, Christoph Schutz, Sebastian Wagner, Frederik Schulte, Daniel Watzenig

Transport Engineering and Logistics

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

Abstract

One of the major challenges in the development of Automated Driving is its assessment. It is expected that Automated Vehicles behave differently than human drivers. Therefore, mixed human-robot traffic will yield different and new driving situations as human-only traffic. It is important to know how this mixed traffic will change the composition of traffic situations to be able to quantify the impact Automated Vehicles will have on everyday traffic. This paper presents a methodology on how to find metrics that quantify traffic in order to detect changes in the traffic space that will come with the introduction of Automated Vehicles. Additionally, this methodology provides tools to help with the validation of virtual testing platforms such as simulation.

Original language	English
Title of host publication	Proceedings of the IEEE International Automated Vehicle Validation Conference, IAVVC 2023
Publisher	IEEE
Number of pages	7
ISBN (Electronic)	979-8-3503-2253-8
DOIs	https://doi.org/10.1109/IAVVC57316.2023.10328115
Publication status	Published - 2023
Event	2023 IEEE International Automated Vehicle Validation Conference, IAVVC 2023 - Austin, United States Duration: 16 Oct 2023 → 18 Oct 2023

Conference

Conference	2023 IEEE International Automated Vehicle Validation Conference, IAVVC 2023
Country/Territory	United States
City	Austin
Period	16/10/23 → 18/10/23

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

Automated Driving
Autonomous Vehicles
Impact Analysis

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10.1109/IAVVC57316.2023.10328115

Cite this

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title = "Quantifying the Impact of Automated Vehicles on Traffic",

abstract = "One of the major challenges in the development of Automated Driving is its assessment. It is expected that Automated Vehicles behave differently than human drivers. Therefore, mixed human-robot traffic will yield different and new driving situations as human-only traffic. It is important to know how this mixed traffic will change the composition of traffic situations to be able to quantify the impact Automated Vehicles will have on everyday traffic. This paper presents a methodology on how to find metrics that quantify traffic in order to detect changes in the traffic space that will come with the introduction of Automated Vehicles. Additionally, this methodology provides tools to help with the validation of virtual testing platforms such as simulation.",

keywords = "Automated Driving, Autonomous Vehicles, Impact Analysis",

author = "Martin Sigl and Binnert Prins and Christoph Schutz and Sebastian Wagner and Frederik Schulte and Daniel Watzenig",

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.; 2023 IEEE International Automated Vehicle Validation Conference, IAVVC 2023 ; Conference date: 16-10-2023 Through 18-10-2023",

year = "2023",

doi = "10.1109/IAVVC57316.2023.10328115",

language = "English",

booktitle = "Proceedings of the IEEE International Automated Vehicle Validation Conference, IAVVC 2023",

publisher = "IEEE",

address = "United States",

}

Sigl, M, Prins, B, Schutz, C, Wagner, S, Schulte, F & Watzenig, D 2023, Quantifying the Impact of Automated Vehicles on Traffic. in Proceedings of the IEEE International Automated Vehicle Validation Conference, IAVVC 2023. IEEE, 2023 IEEE International Automated Vehicle Validation Conference, IAVVC 2023, Austin, United States, 16/10/23. https://doi.org/10.1109/IAVVC57316.2023.10328115

TY - GEN

T1 - Quantifying the Impact of Automated Vehicles on Traffic

AU - Sigl, Martin

AU - Prins, Binnert

AU - Schutz, Christoph

AU - Wagner, Sebastian

AU - Schulte, Frederik

AU - Watzenig, Daniel

N1 - 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.

PY - 2023

Y1 - 2023

N2 - One of the major challenges in the development of Automated Driving is its assessment. It is expected that Automated Vehicles behave differently than human drivers. Therefore, mixed human-robot traffic will yield different and new driving situations as human-only traffic. It is important to know how this mixed traffic will change the composition of traffic situations to be able to quantify the impact Automated Vehicles will have on everyday traffic. This paper presents a methodology on how to find metrics that quantify traffic in order to detect changes in the traffic space that will come with the introduction of Automated Vehicles. Additionally, this methodology provides tools to help with the validation of virtual testing platforms such as simulation.

AB - One of the major challenges in the development of Automated Driving is its assessment. It is expected that Automated Vehicles behave differently than human drivers. Therefore, mixed human-robot traffic will yield different and new driving situations as human-only traffic. It is important to know how this mixed traffic will change the composition of traffic situations to be able to quantify the impact Automated Vehicles will have on everyday traffic. This paper presents a methodology on how to find metrics that quantify traffic in order to detect changes in the traffic space that will come with the introduction of Automated Vehicles. Additionally, this methodology provides tools to help with the validation of virtual testing platforms such as simulation.

KW - Automated Driving

KW - Autonomous Vehicles

KW - Impact Analysis

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U2 - 10.1109/IAVVC57316.2023.10328115

DO - 10.1109/IAVVC57316.2023.10328115

M3 - Conference contribution

AN - SCOPUS:85180127358

BT - Proceedings of the IEEE International Automated Vehicle Validation Conference, IAVVC 2023

PB - IEEE

T2 - 2023 IEEE International Automated Vehicle Validation Conference, IAVVC 2023

Y2 - 16 October 2023 through 18 October 2023

ER -

Quantifying the Impact of Automated Vehicles on Traffic

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Keywords

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