- Authors
- Chao Zhang Google Research, Mountain View, CA, USA
- Yechen LiGoogle Research, Mountain View, CA, USA
- Neha AroraGoogle Research, Mountain View, CA, USA
- Carolina Osorio
- title
- On How Traffic Signals Impact the Fundamental Diagrams of Urban Roads
- Please use the following URL when quoting:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-859675
- conference
- 4th Symposium on Management of Future Motorway and Urban Traffic Systems (MFTS). Dresden, 30. November - 2. Dezember
- original_in_proceeding0000
- 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: 99-104
ISBN: 978-3-95908-296-9 - doi
- https://doi.org/10.25368/2023.103
- Abstract (EN)
- Being widely adopted by the transportation and planning practitioners, the fundamental diagram (FD) is the primary tool used to relate the key macroscopic traffic variables of speed, flow, and density. We empirically analyze the relation between vehicular space-mean speeds and flows given different signal settings and postulate a parsimonious parametric function form of the traditional FD where its function parameters are explicitly modeled as a function of the signal plan factors. We validate the proposed formulation using data from signalized urban road segments in Salt Lake City, Utah, USA. The proposed formulation builds our understanding of how changes to signal settings impact the FDs, and more generally the congestion patterns, of signalized urban segments.
- Keywords (DE)
- datengesteuerte Verkehrssteuerung, Fundamentaldiagramm, makroskopische Modellierung, signalgesteuerte gesteuerte Stadtstraßen, Verkehrsflusstheorie
- Keywords (EN)
- data-driven traffic control, fundamental diagram, macroscopic modeling, signal- controlled urban roads, traffic flow theory
- Classification (DDC)
- 360
- Classification (RVK)
- ZO 4620
- ZO 3100
- Publisher
- Technische Universität Dresden
- Publishing house
- TUDpress, Dresden
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-859675
- Qucosa date of publication
- 23.06.2023
- Document type
- in_proceeding
- Document language
- English
- licence