- AutorIn
- Giuio Erberto Cantarella Department of Civil Engineering, University of Salerno, Italy
- Ernesto CiprianiDepartment of Engineering, University of Roma Tre, Italy
- Andrea GemmaDepartment of Engineering, University of Roma Tre, Italy
- Orlando Giannattasio
- Livia Mannini
- Titel
- Multi-vehicle Stochastic Fundamental Diagram Consistent with Transportations Systems Theory
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-859635
- Konferenz
- 4th Symposium on Management of Future Motorway and Urban Traffic Systems (MFTS). Dresden, 30. November - 2. Dezember
- Quellenangabe
- Proceedings of the 4th Symposium on Management of Future Motorway and Urban Traffic Systems 2022 - 9
Herausgeber: Wang, Meng
Herausgeber: Jaekel, Birgit
Herausgeber: Lehnert, Martin
Herausgeber: Zhou, Runhao
Herausgeber: Li, Zirui
Erscheinungsort: Dresden
Verlag: TUDpress
Erscheinungsjahr: 2023
Titel Schriftenreihe: Verkehrstelematik
Bandnummer Schriftenreihe: 9
Seiten: 59-68
ISBN: 978-3-95908-296-9 - DOI
- https://doi.org/10.25368/2023.99
- Abstract (EN)
- This paper describes a general approach to the specification the stable regime speed-flow function, for motorways, as a part of the stable regime Stochastic Fundamental Diagram consistent with main assumptions of Transportation Systems Theory. Main original elements are: • Specification of speed-flow functions consistent with travel time function, such as BPR-like functions; • Calibration from disaggregate data, say data from single vehicle trajectories; • Specification of the speed r. v. distribution consistent with those used in RUT for route choice behavior modelling, such as Gamma, Inv-Gamma.
- Freie Schlagwörter (DE)
- Fundamentaldiagramm, stochastische FD, Verkehrsflussmodelle (makroskopische Ebene)
- Freie Schlagwörter (EN)
- fundamental diagram, stochastic FD, traffic flow models (macroscopic level)
- Klassifikation (DDC)
- 360
- Klassifikation (RVK)
- ZO 4620
- ZO 3100
- Herausgeber (Institution)
- Technische Universität Dresden
- Verlag
- TUDpress, Dresden
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-859635
- Veröffentlichungsdatum Qucosa
- 23.06.2023
- Dokumenttyp
- Konferenzbeitrag
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis