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Empirical Features of Congested Traffic States and Their Implications for Traffic Modeling
by
Schonhof, Martin
, Helbing, Dirk
in
Analysis
/ Applied sciences
/ characterization of empirical traffic states
/ Communications traffic
/ Empirical research
/ Exact sciences and technology
/ Fourier analysis
/ Freeways
/ fundamental diagram
/ Ground, air and sea transportation, marine construction
/ Highway traffic
/ Mathematical models
/ Motor vehicle traffic
/ Nonlinear programming
/ phase diagram
/ Phase diagrams
/ Property
/ Road transport
/ Road transportation and traffic
/ Speed
/ Studies
/ three-phase traffic theory
/ Traffic
/ Traffic accidents
/ Traffic congestion
/ traffic dynamics
/ Traffic flow
/ traffic flow theories
/ Traffic models
/ Transport
/ Transportation
/ Transportation planning, management and economics
/ Visualization
2007
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Empirical Features of Congested Traffic States and Their Implications for Traffic Modeling
by
Schonhof, Martin
, Helbing, Dirk
in
Analysis
/ Applied sciences
/ characterization of empirical traffic states
/ Communications traffic
/ Empirical research
/ Exact sciences and technology
/ Fourier analysis
/ Freeways
/ fundamental diagram
/ Ground, air and sea transportation, marine construction
/ Highway traffic
/ Mathematical models
/ Motor vehicle traffic
/ Nonlinear programming
/ phase diagram
/ Phase diagrams
/ Property
/ Road transport
/ Road transportation and traffic
/ Speed
/ Studies
/ three-phase traffic theory
/ Traffic
/ Traffic accidents
/ Traffic congestion
/ traffic dynamics
/ Traffic flow
/ traffic flow theories
/ Traffic models
/ Transport
/ Transportation
/ Transportation planning, management and economics
/ Visualization
2007
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Do you wish to request the book?
Empirical Features of Congested Traffic States and Their Implications for Traffic Modeling
by
Schonhof, Martin
, Helbing, Dirk
in
Analysis
/ Applied sciences
/ characterization of empirical traffic states
/ Communications traffic
/ Empirical research
/ Exact sciences and technology
/ Fourier analysis
/ Freeways
/ fundamental diagram
/ Ground, air and sea transportation, marine construction
/ Highway traffic
/ Mathematical models
/ Motor vehicle traffic
/ Nonlinear programming
/ phase diagram
/ Phase diagrams
/ Property
/ Road transport
/ Road transportation and traffic
/ Speed
/ Studies
/ three-phase traffic theory
/ Traffic
/ Traffic accidents
/ Traffic congestion
/ traffic dynamics
/ Traffic flow
/ traffic flow theories
/ Traffic models
/ Transport
/ Transportation
/ Transportation planning, management and economics
/ Visualization
2007
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Empirical Features of Congested Traffic States and Their Implications for Traffic Modeling
Journal Article
Empirical Features of Congested Traffic States and Their Implications for Traffic Modeling
2007
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Overview
We address the controversial issue of traffic flow modeling, whether first-order, second-order, or other traffic models are best supported by empirical facts and theoretical considerations. This is done by a critical discussion of the pros and cons of the different theoretical approaches and by the analysis of a large set of empirical data with new evaluation techniques. Specifically, we investigate characteristic properties of the congested traffic states on a 30-km-long stretch of the German freeway A5 near Frankfurt/Main. Among the approximately 245 breakdowns of traffic flow at several different bottlenecks in 165 days, we have identified five different kinds of spatiotemporal congestion patterns and their combinations. Based on an \"adaptive smoothing method\" for the visualization of detector data, we also discuss particular features of breakdowns, such as signs of unstable traffic flow and the \"boomerang effect,\" which often seems to be caused by overtaking maneuvers of trucks. Controversial issues such as \"synchronized flow\" or stop-and-go waves are addressed as well. Our empirical results are compared with the implications of different theoretical concepts such as first-order traffic models and the phase diagram of congested traffic states predicted by some second-order models and the nonlocal, gas-kinetic based traffic model (GKT model). For a correct understanding of empirical observations such as the \"general pattern,\" it is important to consider particularities such as the fact that off-ramps can act as bottlenecks, when activated by downstream on-ramp bottlenecks. As sequences of off- and on-ramps generate different congestion patterns than single on-ramps, they must be treated as interconnected bottlenecks. Furthermore, our empirical results question Kerner's three-phase theory.
Publisher
INFORMS,Transportation Science & Logistic Society of the Institute for Operations Research and Management Sciences,Institute for Operations Research and the Management Sciences
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