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2023 | OriginalPaper | Chapter

Interactive Traffic Management for Highly Automated Vehicles

Authors : Tom Alkim, Claudio Roncoli, Torsten Geissler, Siddartha Khastgir, Risto Kulmala

Published in: Road Vehicle Automation 10

Publisher: Springer Nature Switzerland

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Abstract

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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Literature
12.
go back to reference Bishop, R.: Intelligent Vehicle Technology and Trends, Artech House (2005) Bishop, R.: Intelligent Vehicle Technology and Trends, Artech House (2005)
14.
go back to reference Message Sets for Advanced Traveler Information System (ATIS), SAE J2354_201906, in SAE Surface Vehicle Standard Standards (2019) Message Sets for Advanced Traveler Information System (ATIS), SAE J2354_201906, in SAE Surface Vehicle Standard Standards (2019)
Metadata
Title
Interactive Traffic Management for Highly Automated Vehicles
Authors
Tom Alkim
Claudio Roncoli
Torsten Geissler
Siddartha Khastgir
Risto Kulmala
Copyright Year
2023
DOI
https://doi.org/10.1007/978-3-031-34757-3_14

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