| 1. |
- Gyergyay, Bernard, et al.
(author)
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Automation-ready framework for urban transport and road infrastructure planning
- 2019
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In: Transportation Research Procedia. - : Elsevier. ; , s. 88-97
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Conference paper (peer-reviewed)abstract
- "Automation-ready" is currently defined in the H2020 CoEXist project as the capability to conduct transport and infrastructure planning with the incorporation of connected and automated vehicles (CAV) in the same comprehensive manner as for existing modes in future plans, where they complement and coexist with conventional vehicles, public transport, pedestrians and cyclists, to achieve and support higher sustainable mobility goals. This definition will be fine-tuned through stakeholder engagement processes. The H2020 CoEXist project started in May 2017 and will run until April 2020. This paper introduces this project and covers its progress until January 2018, with a focus on the methodology of the "Automation-ready framework" that provides a planning framework for urban road authorities to prepare for the introduction of CAVs on the road network. The two Stuttgart use cases (among the eight use cases in CoEXist) are also elaborated in this paper. The framework includes elements about strategic urban mobility planning for CAVs and a clear guide for urban transport planners with a list of concrete actions that cities can do now to plan for CAVs on their road network.
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| 2. |
- Gyergyay, Bernard, et al.
(author)
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Automation-ready framework for urban transport planning
- 2018
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In: Proceedings of 7th Transport Research Arena TRA 2018, April 16-19, 2018, Vienna, Austria.
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Conference paper (peer-reviewed)abstract
- The mission of the H2020 CoEXist project is to enable mobility stakeholders to get “Automation-ready” – which CoEXist currently defines as conducting transport and infrastructure planning for connected and automated vehicles (CAVs) in the same comprehensive manner as for existing modes such as conventional vehicles, public transport, pedestrians, and cyclists, while ensuring continued support for existing modes on the same network. This definition will be fine-tuned through stakeholder engagement processes. The H2020 CoEXist project started in May 2017 and will run until April 2020. This paper introduces this project and covers its progress until January 2018, with a focus on the methodology of the “Automation-ready framework” that provides a planning framework for urban road authorities to prepare for the introduction of CAVs on the road network. The framework includes elements about strategic urban mobility planning for CAVs and a clear guide for urban transport planners with a list of concrete actions that cities can do now to plan for CAVs on their road network
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| 3. |
- Maiwöger, Mira, et al.
(author)
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Observation of Light-Induced Dipole-Dipole Forces in Ultracold Atomic Gases
- 2022
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In: Physical Review X. - 2160-3308. ; 12:3
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Journal article (peer-reviewed)abstract
- Light-matter interaction is well understood on the single-atom level and routinely used to manipulate atomic gases. However, in denser ensembles, collective effects emerge that are caused by light-induced dipole-dipole interactions and multiple photon scattering. Here, we report on the observation of a mechanical deformation of a cloud of ultracold 87Rb atoms due to the collective interplay of the atoms and a homogenous light field. This collective light scattering results in a self-confining potential with interesting features: It exhibits nonlocal properties, is attractive for both red- and blue-detuned light fields, and induces a remarkably strong force that depends on the gradient of the atomic density. Our experimental observations are discussed in the framework of a theoretical model based on a local-field approach for the light scattered by the atomic cloud. Our study provides a new angle on light propagation in high-density ensembles and expands the range of tools available for tailoring interactions in ultracold atomic gases.
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| 4. |
- Olstam, Johan, 1979-, et al.
(author)
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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
- 2020
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Reports (other academic/artistic)abstract
- 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.
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