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ThinkMind // International Journal On Advances in Systems and Measurements, volume 4, numbers 3 and 4, 2011 // View article sysmea_v4_n34_2011_3


Reconstruction Quality of Congested Freeway Traffic Patterns Based on Kerner's Three-Phase Traffic Theory

Authors:
Jochen Palmer
Hubert Rehborn
Ivan Gruttadauria

Keywords: Traffic monitoring; Traffic state detection; Traffic data fusion; Probe vehicle data; Three-phase traffic theory; Models ASDA and FOTO; Traffic data quality; Traffic quality indices.

Abstract:
This paper discusses the reconstruction quality of spatio-temporal congested freeway traffic patterns depending on the information provided by different equipment rates of probe vehicles. In this research Kerner's three-phase traffic theory is applied, which distinguishes two different phases in congested traffic: synchronized flow and wide moving jam. In the presented approach spatio-temporal congested traffic patterns are reconstructed from intelligent probe vehicle information generated by an on-board traffic state detection, identifying traffic states along a vehicle's trajectory at any time. With a data fusion algorithm combining the data of several probe vehicles, a detailed picture of spatio-temporal congested traffic patterns is revealed. Comparing Ground-Truth with the reconstructed traffic pattern shows that a reconstruction quality comparable to that of established traffic flow models is achievable with probe vehicle equipment rates of about 0.5 %. At higher equipment rates of about 1-1.5 % the achievable quality already exceeds the quality established traffic flow models are able to offer based on a dense detector network with average detector distances of 1-2 km.

Pages: 168 to 181

Copyright: Copyright (c) to authors, 2011. Used with permission.

Publication date: April 30, 2012

Published in: journal

ISSN: 1942-261x

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