| Autor: |
Pereira, Iman, Fléchon, Charlotte, Johansson, Fredrik, Olstam, Johan, Dahl, Alexander, Tiberi, Paola, Paliotto, Andrea, Tripodi, Antonino |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
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| Popis: |
A key goal of the CoEXistproject is to enable local road authorities and other urban mobility stakeholders to evaluate the impact of the introduction of connected and automated vehicles (CAVs).One part of achieving this goal is the development of extended traffic models able to model traffic with various mixes of different types of CAVs, as presented in CoEXistdeliverablesD2.10/D2.11and D2.7/D2.8. However,there are large uncertaintiesassociatednot only with the behaviour of the automated vehiclesand the reactions of non-automated road users to the CAVs, but alsotherate of introduction of various types of CAVs into the vehicle fleet. These uncertainties makeinterpreting the output of traffic models significantly harder. The aim of this documentis to present the approach that has been used in CoEXist,that in a structured and sound way can be used by road authorities to assess the traffic impact of automationona given road design, traffic controllers, regulations, etc. The traffic performance and space efficiency assessment approach utilizes outputs from automation-ready transport modelling tools as input. The traffic models are applied to a set of consistent experimentswith respect to penetration rates and differentmixes of AV classes, as described in deliverable D3.1.Relevant performance metrics,presented in deliverable D3.2,are calculatedfrom the model outputs and used to assess the traffic impact of automationin terms of traffic performance for different infrastructure designs.An essential functionality ofthe assessment approach is to consider and visualize effects of the large uncertainties with respect to how different types of AVs might behave and which mixes of different typesof AVs that are likely to CoEXistat different stages of the transition period towards full automation. Assessing traffic safety based on traffic models is difficult and in addition to the traffic performance and space efficiency assessment tool,two different safety assessment tools aredeveloped:one qualitative safety assessment approach,which assess potential safety effects in relation to the accident types and automation functions that are relevant for aninfrastructure design; and one more detailed safety assessment approach based on safetyinspections. These two safety assessment approachesare not relyingon the results of modelling tools and can be used independently. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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