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Validating microscopic traffic flow models

Authors: Elmar Brockfeld; Peter Wagner 0003;

Validating microscopic traffic flow models

Abstract

This paper summarizes the results of several projects, which were aiming at comparing different microscopic traffic flow models to reality and with each other. Surprisingly, it was not possible to calibrate model with an error smaller than 15 % (relative root mean square error, RRME) against real data. Simple models basically yield the same results as more complicated ones, where the number of parameters has been used as a measure of complexity of a model. Before conclusions can be drawn out of these results, it must be understood into more detail the sources of noise in traffic flow. This will be undertaken by running models with NGSIM trajectory data

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Top 10%
Average
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