Empirical Traffic Data and Their Implications for Traffic Modeling

Abstract

From single vehicle data a number of new empirical results about the temporal evolution, correlation, and density-dependence of macroscopic traffic quantities have been determined. These have relevant implications for traffic modeling and allow to test existing traffic models.

For related work see http://www.theo2.physik.uni-stuttgart.de/helbing.html

References in corpus (1)

• Modeling and Simulation of Multi-Lane Traffic Flow

Cited by in corpus (14)

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• Fundamentals of Traffic Flow
• From Microscopic to Macroscopic Traffic Models
• Structure and Instability of High-Density Equations for Traffic Flow
• Cellular Automaton Rule184++C. A Simple Model for the Complex Dynamics of Various Particles Flow
• Crossover transitions in a bus-car mixed-traffic cellular automata model
• Traffic models and traffic-jam transition in quantum ($N$+1)-level systems
• Coarse-grained cellular automaton for traffic systems