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

Wesemeyer, Daniel und Ruppe, Sten und Ortgiese, Michael (2024) Slot-based dynamic traffic control - Deriving generation rules from automated and connected driving and lane change behavior. Frontiers in Future Transportation. Frontiers Media S.A.. doi: 10.3389/ffutr.2024.1415375. ISSN 2673-5210.

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Kurzfassung

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.

elib-URL des Eintrags:https://elib.dlr.de/196783/
Dokumentart:Zeitschriftenbeitrag
Titel:Slot-based dynamic traffic control - Deriving generation rules from automated and connected driving and lane change behavior
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Wesemeyer, DanielDaniel.Wesemeyer (at) dlr.dehttps://orcid.org/0000-0002-7411-5551167203079
Ruppe, Stensten.ruppe (at) dlr.dehttps://orcid.org/0000-0003-1072-147XNICHT SPEZIFIZIERT
Ortgiese, Michaelmichael.ortgiese (at) dlr.dehttps://orcid.org/0000-0003-4616-7327NICHT SPEZIFIZIERT
Datum:5 September 2024
Erschienen in:Frontiers in Future Transportation
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Ja
In SCOPUS:Ja
In ISI Web of Science:Ja
DOI:10.3389/ffutr.2024.1415375
Verlag:Frontiers Media S.A.
Name der Reihe:Transportation Systems Modeling
ISSN:2673-5210
Status:veröffentlicht
Stichwörter:connected automated vehicles, connected intelligent transport system, dynamic traffic management, mixed-autonomy traffic, slot-based road traffic control, slot management
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Verkehr
HGF - Programmthema:Straßenverkehr
DLR - Schwerpunkt:Verkehr
DLR - Forschungsgebiet:V ST Straßenverkehr
DLR - Teilgebiet (Projekt, Vorhaben):V - V&V4NGC - Methoden, Prozesse und Werkzeugketten für die Validierung & Verifikation von NGC
Standort: Berlin-Adlershof
Institute & Einrichtungen:Institut für Verkehrssystemtechnik > Kooperative Systeme, BA
Institut für Verkehrsforschung
Hinterlegt von: Wesemeyer, Daniel
Hinterlegt am:10 Sep 2024 21:32
Letzte Änderung:10 Sep 2024 21:32

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