Traffic Flow Forecasting
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B. S. Kerner
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.
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- Zustandsschätzung im Autobahnverkehr mit Einzelfahrzeuginformationen (State Estimation in Freeway Traffic with Floating Car Data)
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- Intelligente Verkehrsbeeinflussung mit adaptiven, lernenden Systemen (Intelligent Traffic Control with Adaptive, Learning Systems)
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Articles in the same Issue
- UML – Unified Modeling Language im Einsatz. Teil 3: UML-RT für echtzeitkritische und eingebettete Systeme (Unified Modeling Language in Practice. Part 3: UML-RT for Real-Time and Embedded Systems)
- Mit Methode raus aus dem Stau
- Microsimulations of Freeway Traffic Including Control Measures
- Towards a Multi-Agent System for On-Line Simulations Based on Real-World Traffic Data
- Telematics Systems for Individual and Commercial Traffic
- Zustandsschätzung im Autobahnverkehr mit Einzelfahrzeuginformationen (State Estimation in Freeway Traffic with Floating Car Data)
- Traffic Flow Forecasting
- Intelligente Verkehrsbeeinflussung mit adaptiven, lernenden Systemen (Intelligent Traffic Control with Adaptive, Learning Systems)
- Bericht zum GMA-Kongress 2001 – Automatisierungstechnik im Spannungsfeld neuer Technologien
- Vollautomatische methodenbasierte Synthese optimaler Koordinationssteuerungen für Flexible Fertigungssysteme
