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.

Abstract

developments in fully autonomous vehicles move forward, one issue to be considered is the mapping"br" requirements necessary for such vehicles to navigate their way around the road network at any time and between"br" any point of origin and destination. On-board navigation systems already deal with determining the initial route,"br" so that the challenge becomes that of being able to determine the vehicle position at all times, especially in"br" circumstances where GNSS is unavailable. The ATLAS project (supported by Innovate UK) has considered this"br" issue with regards to mapping types, data requirements and technology demands/protocols. Through the"br" development of a cloud-based data service concept, and simulation of the data transmission conditions in"br" different scenarios, ATLAS has demonstrated that achieving fully autonomous navigation will be challenging"br" with current communications technology. However, V2I technologies could help to achieve autonomous"br" navigation in the short term as well as delivering additional operational benefits to road owners.