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Empirical features of congested traffic states and their implications for traffic modeling (2004)
| Venue: | TRANSPORTATION SCIENCE |
| Citations: | 34 - 9 self |
BibTeX
@ARTICLE{Schönhof04empiricalfeatures,
author = {Martin Schönhof and Dirk Helbing},
title = { Empirical features of congested traffic states and their implications for traffic modeling},
journal = {TRANSPORTATION SCIENCE},
year = {2004},
pages = {135--166}
}
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Abstract
We investigate characteristic properties of the congested traffic states on a 30 km long stretch of the German freeway A5 north of Frankfurt/Main. Among the approximately 245 breakdowns of traffic flow in 165 days, we have identified five different kinds of spatio-temporal 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 the “boomerang effect ” which is a sign of linearly unstable traffic flow. Controversial issues such as “synchronized flow” or stop-and-go waves are addressed as well. Finally, our empirical results are compared with different theoretical concepts and interpretations of congestion patterns, in particular first- and second-order macroscopic traffic models.
Keyphrases
congested traffic state traffic modeling empirical feature adaptive smoothing method boomerang effect 245 breakdown frankfurt main characteristic property km long stretch traffic flow detector data particular feature congestion pattern stop-and-go wave synchronized flow different theoretical concept second-order macroscopic traffic model different kind linearly unstable traffic flow german freeway a5 north spatio-temporal congestion pattern empirical result controversial issue
