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/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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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 languageEnglish
Title of host publicationProceedings of the IEEE International Automated Vehicle Validation Conference, IAVVC 2023
Number of pages7
ISBN (Electronic)979-8-3503-2253-8
Publication statusPublished - 2023
Event2023 IEEE International Automated Vehicle Validation Conference, IAVVC 2023 - Austin, United States
Duration: 16 Oct 202318 Oct 2023


Conference2023 IEEE International Automated Vehicle Validation Conference, IAVVC 2023
Country/TerritoryUnited States

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.


  • Automated Driving
  • Autonomous Vehicles
  • Impact Analysis


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