Project Details


The mission of CoEXist is to systematically increase the capacity of road authorities and other urban mobility stakeholders to get ready for the transition towards a shared road network with increasing levels of connected and automated vehicles (CAVs), both in terms of vehicle penetration rates and levels of automation using the same road network as conventional vehicles (CVs). CoEXist will enable mobility stakeholders to get “Automation-ready” – which CoEXist defines as conducting transport and infrastructure planning for automated vehicles in the same comprehensive manner as for existing modes such as conventional vehicles, public transport, pedestrians and cyclists, while ensuring continued support for conventional vehicles on the same network.


Project details

Duration 05/2017 – 04/2020


Coordinator Rupprecht Consult GmbH

Project goal

CoEXist’s strategic aim is to bridge the gap between connected and automated vehicles (CAVs) technology and transportation and infrastructure planning by strengthening the capacities of urban road authorities and cities to plan for the integration of CAVs in the same network.

CoEXist will achieve its aim through the following project objectives:

  • To define requirements of stakeholders in the transition towards Automation-ready transport and infrastructure planning;
  • To develop and validate microscopic and macroscopic modelling tools (PTV Vissim and Visum) that enable the transition towards Automation-ready transport planning;
  • To develop a hybrid infrastructure impact assessment tool that enables the transition towards Automation-ready road infrastructure planning;
  • To demonstrate CoEXist tools in road authorities and cities;
  • To ensure take-up and exploitation of CoEXist results through dissemination.


Automation-ready transport and infrastructure planning in cities is a key precondition for fulfilling the promises of CAVs to reduce road space demand and improve traffic efficiency and safety. CoEXist will address three key steps in transport and infrastructure development:

  • Automation-ready transport modelling: Validated extension of existing microscopic and macroscopic transport models to include different types of CAVs (passenger car/ light-freight vehicle, automation levels).
  • Automation-ready road infrastructure: Tool to assess the impact of CAVs on safety, traffic efficiency and space demand and development of design guidance for hybrid (CAV-/CV-shared) infrastructure.
  • Automation-ready road authorities: Elaboration of eight use cases in four road authorities (Gothenburg, Helmond, Milton Keynes and Stuttgart), used to evaluate AV impacts on safety, traffic efficiency and road space requirements (with CoEXist tools) and making detailed hybrid infrastructure design recommendations.




CoEXist will develop a trans-disciplinary approach to the deployment of CAVs on urban road networks by bringing together leading networks for vehicle research (iD4Car), road research (FEHRL) and urban mobility (Polis) to conduct a stakeholder engagement process with leading organisations in the field. The results will be summarised in a "Automation-ready framework" for road authorities and will feed into the development of automation roadmaps (e.g. FEHRL Forever Open Roads).

CoEXist will foster technological development of microscopic and macroscopic modelling tools, CAV-simulators and CAV control logics. CoEXist will create a closed-loop connection between AV control logics (provided by Renault and Vedecom), an AV- simulator (PreScan) and the microscopic modelling tool Vissim. This connection will facilitate the definition of vehicle behaviour parameter sets for microscopic simulation models. The models are validated with real-life AVs on the public test track operated by TASS International in Helmond, The Netherlands. CoEXist will enhance the existing micro- and macroscopic models Vissim and Visum starting at Technology Readiness Level 2, i.e. TRL 2 (technical concept of the integration of AV-ready transport into modelling tools), and validating and demonstrating them in relevant modelling environments (TRL 5 to TRL 8), and eventually releasing them to the competitive environment (TRL 9) by the end of the project.

In CoEXist, Renault and Vedecom will simulate their CAVs in four different European road authorities (Gothenburg, Helmond, Stuttgart and Milton Keynes) with very different urban structures and traffic compositions. With the initial model-based assessment of the AV control logic, significant time and costs can be saved in order to reach TRL 9. Findings from CoEXist can be applied further by OEMs to simulate their AVs in other cities, provided they have access to the transport models.

CoEXist will help to better understand the effect of CAVs on urban road infrastructure, especially during the transition phase. The project will analyse eight use cases (e.g. capacity of arterial road with signalised junction, mixed road space) in Gothenburg, Helmond, Milton Keynes and Stuttgart. The CoEXist Automation-ready modelling and impact assessment tools will enable road authorities to understand in detail the impact of increasing numbers of CAVs and of increasing automation levels on a shared (AV/ CV) road network. They will be able to identify the "tipping point": at which level of AV penetration and in which transport context will AVs produce relevant transport impacts, requiring road infrastructure adaptations. Each road authority in CoEXist will produce an ‘Automation-ready Action Plan’ that gives detailed guidance on steps the road authorities have to take to conduct Automation-ready transport and infrastructure planning

Role of Rupprecht Consult

Rupprecht Consult is the coordinator of the CoEXist project and is responsible for the overall project management (WP6), including administrative and financial. Apart from the coordination, Rupprecht Consult will be leading work package 1 (WP1): Automation-ready Framework development, and work package 4 (WP4): demonstration of CoEXist tools in road authorities.

Contact details

Daniel Franco
+49 221 6060 55 23

Project partners