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Cooperative Systems for Future Automated Road Transport and Traffic Management in Urban Areas

Authors: Robbin Blokpoel; Meng Lu;

Cooperative Systems for Future Automated Road Transport and Traffic Management in Urban Areas

Abstract

Automated road transport in urban areas will be dependent on adequate connectivity and information exchange between highly automated driving systems in vehicles and the road infrastructure, based on a cooperative or connected ICT infrastructure. The paper especially addresses the challenges of cooperative systems for future road transport and traffic management in urban areas. For this appropriate management regimes for highly automated driving in urban areas will be developed focussing to guide vehicles at signalised intersections and corridors. Advanced Driver Assistance Systems will be enhanced by using cooperative communication. The paper serves as an overview of the status of the MAVEN (Managing Automated Vehicles Enhances Network) project. It introduces the concept, the architecture, and some scenarios that were developed by the project concerning this topic. The implementation of the Local Dynamic Map, which is at the heart of the architecture, will be used to discuss the signal negotiation scenario in more detail. Lastly, road authority views on the topic are also discussed.

Keywords

automated driving; cooperative systems; traffic management

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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