Identifiability and practical relevance of complex car-following models. Flötteröd, G., Wagner, P., & Wang, Y. In Traffic And Granular Flow, September, 2011.
Paper abstract bibtex 2 downloads This article looks at car-following models with a deliberately pragmatic perspective: What information about driver behavior can be extracted from a given data set without more or less speculative assumptions about underlying behavioral laws. The objective of this exercise is not to invalidate existing models but to obtain a better understanding of how much (complex) model structure can be revealed/validated from real data.
@inproceedings{dlr72232,
author = {Gunnar Fl{\"o}tter{\"o}d and Peter Wagner and Yun-Pang Wang},
booktitle = {Traffic And Granular Flow},
title = {Identifiability and practical relevance of complex car-following models},
year = {2011},
month = {September},
abstract = {This article looks at car-following models with a deliberately pragmatic
perspective: What information about driver behavior can be extracted
from a given data set without more or less speculative assumptions
about underlying behavioral laws. The objective of this exercise
is not to invalidate existing models but to obtain a better understanding
of how much (complex) model structure can be revealed/validated from
real data.},
groups = {pollution},
keywords = {car following models, ARIMA, calibration},
owner = {dkrajzew},
timestamp = {2014.01.08},
url = {http://elib.dlr.de/72232/}
}
Downloads: 2
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