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Technical report on the application of the tools for assessing traffic impacts of automated vehicles: Deliverable D4.3 of the CoEXist project
Swedish National Road and Transport Research Institute, Society, environment and transport, Traffic analysis and logistics.ORCID iD: 0000-0002-0336-6943
Swedish National Road and Transport Research Institute, Society, environment and transport, Traffic analysis and logistics.ORCID iD: 0000-0002-1948-1858
Swedish National Road and Transport Research Institute, Society, environment and transport, Traffic analysis and logistics.ORCID iD: 0000-0001-6966-9077
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2020 (English)Report (Other academic)
Abstract [en]

The many uncertainties related to the introduction of automated vehicles imply a need to for a structured way of assessing impacts for different future development with respect to penetration rates of automated vehicles and mixes of different types of automated vehicles but also for different travel demand levels and behavioural changes of road users. In order to provide a summarized picture of potential impacts for different stages of coexistence between automated vehicles and other road users an assessment approach was developed (see D3.3 (Pereira et al., 2020) for details). To simplify the assessment and to create a standard way of presenting the results taking uncertainties into account the approach was implemented in one spreadsheet-based tool for assessment of traffic performance and space efficiency and one tool for qualitative safety assessment.

The aim of this report is to present the results from applying the tools for assessing traffic impacts of automated vehicles to the simulation outputs of the eight use cases within CoEXist. The aim of the traffic performance and space efficiency tool is to concisely present an assessment of the traffic performance impact of the introduction of automated vehicles, based on the output from models, including the uncertainties considered. The aim of the qualitative safety assessment tool is to provide rough estimates on how automated driving functions might affect safety for use case relevant accident types. Both of these tools are tested and demonstrated through the applications presented here.

Place, publisher, year, edition, pages
CoEXit , 2020. , p. 197
Series
CoEXist ; D4.3
National Category
Transport Systems and Logistics Vehicle and Aerospace Engineering
Identifiers
URN: urn:nbn:se:vti:diva-15904OAI: oai:DiVA.org:vti-15904DiVA, id: diva2:1521171
Funder
EU, Horizon 2020, 723201Available from: 2021-01-22 Created: 2021-01-22 Last updated: 2025-09-11Bibliographically approved

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Olstam, JohanJohansson, FredrikLiu, Chengxi

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