Interactive Traffic Management for Highly Automated Vehicles

This chapter summarizes part of the presentations and discussions that took place at the Automated Road Transportation Symposium 2022 (ARTS22) during the breakout session titled “Interactive Traffic Management for Highly Automated Vehicles”, complemented with further material and reflections by the authors. The chapter deals with traffic management in the presence of highly automated vehicles capable of driverless operation in specific Operational Design Domains (ODD). The aim is to present and discuss challenges related to the design and implementation of traffic management measures from multiple perspectives, covering the exchanged messages, the digitization of traffic codes and regulations, the impact on efficiency, and the human factors and reactions to traffic management measures. The potential to increase and optimize the performance of highly automated vehicles by providing external information will also be explored by introducing the concept of Distributed ODD attribute Value Awareness (DOVA).

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automated vehicles, connected vehicles, operational Design Domain, traffic management

DOI

10.1007/978-3-031-34757-3_14

Citation

Alkim, T, Roncoli, C, Geissler, T, Khastgir, S & Kulmala, R 2023, Interactive Traffic Management for Highly Automated Vehicles . in Road Vehicle Automation 10. ARTS Symposium 2022 . Lecture notes in mobility, Springer, pp. 174-182 . https://doi.org/10.1007/978-3-031-34757-3_14

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https://urn.fi/URN:NBN:fi:aalto-202308014535

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[article-cris] Insinööritieteiden korkeakoulu / ENG

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