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METHODS article

Front. Future Transp.
Sec. Transportation Systems Modeling
Volume 5 - 2024 | doi: 10.3389/ffutr.2024.1415375

Slot-based dynamic traffic control -Deriving generation rules from automated and connected driving and lane change behavior

Provisionally accepted
  • Institute of Transportation Systems, German Aerospace Center, Helmholtz Association of German Research Centers (HZ), Braunschweig, Germany

The final, formatted version of the article will be published soon.

    The advent of connected automated vehicles (CAVs) will introduce new possibilities for traffic management as it provides a wide variety of data that can be used by traffic network and fleet operators. Much of this data will be generated passively by vehicles and the infrastructure and exchanged between stations via wireless communication, i.e. Vehicle-to-Everything (V2X). This paper introduces a V2X-based traffic management approach based on slot management for vehicles. These slots are used to control the route choice and trajectory planning of CAVs over multiple organizational levels. After introducing the central principles that the management system model is based on, we test two lane change approaches for CAVs in order to derive rules for generating and controlling slots. A basic set of rules was defined that foremost resulted from evaluating the lane change behaviour of CAVs. The evaluation of the lane changes shows that omitting deviations in the driving behaviour of CAVs yields non-optimal results concerning traffic flow parameters, especially under highly congested conditions. Future research should investigate the effects of the slot-based approach in a more complex scenario.

    Keywords: Connected automated vehicles, connected intelligent transport system, Dynamic traffic management, Mixed-autonomy traffic, slot-based road traffic control, Slot management

    Received: 10 Apr 2024; Accepted: 13 Aug 2024.

    Copyright: © 2024 Wesemeyer, Ortgiese and Ruppe. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Daniel Wesemeyer, Institute of Transportation Systems, German Aerospace Center, Helmholtz Association of German Research Centers (HZ), Braunschweig, Germany

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.