Citation

Treiber M, Kesting A. Transp. Res. C Emerg. Technol. 2012; 21(1): 31-41.

Copyright

(Copyright © 2012, Elsevier Publishing)

DOI

10.1016/j.trc.2011.09.002

PMID

unavailable

Abstract

We propose a quantitative approach for calibrating and validating key features of traffic instabilities based on speed time series obtained from aggregated data of a series of neighboring stationary detectors. The approach can be used to validate models that are calibrated by other criteria with respect to their collective dynamics. We apply the proposed criteria to historic traffic databases of several freeways in Germany containing about 400 occurrences of congestions thereby providing a reference for model calibration and quality assessment with respect to the spatiotemporal dynamics. First tests with microscopic and macroscopic models indicate that the criteria are both robust and discriminative, i.e., clearly distinguishes between models of higher and lower predictive power.