Statistical Analysis of Freeway Traffic

Single-vehicle data of freeway traffic as well as selected Floating-Car (FC) data are analyzed in detail. Traffic states are distinguished by means of aggregated data. We propose a method for a quantitative classification of these states. The data of individual vehicles allow for insights into the interaction of vehicles. The time-headway distribution reveals a characteristic structure dominated by peaks and controlled by the underlying traffic states. The tendency to reach a pleasant level of “driving comfort” gives rise to new v(Δx)-diagrams, known as Optimal-Velocity (OV) curves. The insights found at locally fixed detectors can be confirmed by FC data. In fundamental diagrams derived from local measurements new high-flow states can be observed.

[1]  R D Kuhne,et al.  FREEWAY SPEED DISTRIBUTION AND ACCELERATION NOISE : CALCULATIONS FROM A STOCHASTIC CONTINUUM THEORY AND COMPARISION WITH MEASUREMENTS , 1987 .

[2]  Wilhelm Leutzbach,et al.  Introduction to the Theory of Traffic Flow , 1987 .

[3]  Adolf D. May,et al.  Traffic Flow Fundamentals , 1989 .

[4]  Kerner,et al.  Cluster effect in initially homogeneous traffic flow. , 1993, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[5]  K. Hasebe,et al.  Structure stability of congestion in traffic dynamics , 1994 .

[6]  D. Wolf,et al.  Traffic and Granular Flow , 1996 .

[7]  Kerner,et al.  Experimental properties of complexity in traffic flow. , 1996, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[8]  Kerner,et al.  Experimental features and characteristics of traffic jams. , 1996, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[9]  Debashish Chowdhury,et al.  Distributions of time- and distance-headways in the Nagel-Schreckenberg model of vehicular traffic: effects of hindrances , 1998 .

[10]  A. Schadschneider,et al.  Metastable states in cellular automata for traffic flow , 1998, cond-mat/9804170.

[11]  B. Kerner EXPERIMENTAL FEATURES OF SELF-ORGANIZATION IN TRAFFIC FLOW , 1998 .

[12]  Ludger Santen,et al.  Spatio-temporal organization of vehicles in a cellular automata model of traffic with `slow-to-start' rule , 1999 .

[13]  A. Schadschneider The Nagel-Schreckenberg model revisited , 1999, cond-mat/9902170.

[14]  A. Schadschneider,et al.  Single-vehicle data of highway traffic: a statistical analysis. , 1999, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[15]  Michael Schreckenberg,et al.  Traffic and Mobility: Simulation, Economics, Environment , 1999 .