Startseite Traffic Flow Forecasting
Artikel
Lizenziert
Nicht lizenziert Erfordert eine Authentifizierung

Traffic Flow Forecasting

  • B. S. Kerner und R. G. Herrtwich
Veröffentlicht/Copyright: 25. September 2009
at - Automatisierungstechnik
Aus der Zeitschrift Band 49 Heft 11

A review of methods for dynamic traffic forecasting which have recently been developed by DaimlerChrysler AG is presented. In particular, some new models for tracing and forecasting of congested spatial-temporal patterns on highways will be considered. These models ASDA (Automatische Staudynamikanalyse: Automatic Tracing of Moving Traffic Jams) and FOTO (Forecasting Of Traffic Objects) allow us to trace and to predict macroscopic spatial-temporal properties of the traffic patterns without any validation of model parameters at different infrastructure, weather and other environmental conditions. Results of the on-line application of these models are shortly discussed. A macroscopic model for dynamic forecast of traffic in urban areas is presented. This model allows us to predict macroscopic characteristics of traffic such as queue lengths at light signals and link travel times. The calculation time of the model can be several thousand times shorter than the one of microscopic traffic models.

Published Online: 2009-09-25
Published in Print: 2001-11
Heruntergeladen am 22.9.2025 von https://www.degruyterbrill.com/document/doi/10.1524/auto.2001.49.11.505/html?lang=de
Button zum nach oben scrollen