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

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › 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	IAVVC 2023 - IEEE International Automated Vehicle Validation Conference, Proceedings
Publisher	Institute of Electrical and Electronics Engineers
ISBN (Electronic)	9798350322538
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
Abbreviated title	IAVVC 2023
Country/Territory	United States
City	Austin
Period	16/10/23 → 18/10/23

Keywords

Automated Driving
Autonomous Vehicles
Impact Analysis

ASJC Scopus subject areas

Artificial Intelligence
Automotive Engineering
Safety, Risk, Reliability and Quality
Control and Optimization
Modelling and Simulation
Instrumentation

Access to Document

10.1109/IAVVC57316.2023.10328115

Cite this

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

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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.",

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AU - Watzenig, Daniel

PY - 2023

Y1 - 2023

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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

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KW - Impact Analysis

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M3 - Conference paper

AN - SCOPUS:85180127358

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

PB - Institute of Electrical and Electronics Engineers

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Quantifying the Impact of Automated Vehicles on Traffic

Abstract

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this