DocumentCode :
2224807
Title :
Adaptive emission control of freeway traffic via compensation of modeling inconsistences
Author :
Várkonyi, Teréz A. ; Tar, József K. ; Rudas, Imre J.
Author_Institution :
John von Neumann Fac. of Inf., Doctoral Sch. of Appl. Inf., Obuda Univ., Budapest, Hungary
fYear :
2012
fDate :
26-28 Jan. 2012
Firstpage :
79
Lastpage :
84
Abstract :
Nowadays when traffic jams and air pollution are very common, controlling the emission rate of the exhaust fumes is a significant task. Many difficulties make this problem more sophisticated, for example the present emission models sometimes need too many information so it is quite complex to work with them. On the other hand, the underlaying physics behind the hydrodynamic traffic models does not suggest unique mathematical formulation so we need adaptive controllers that iteratively improve the forecasts obtained by a rough initial model without tuning the parameters of a particular mathematical structure. In this paper a simple method is shown for determining the stationary solutions obtained from a hydrodynamic model for a realistic parameter range. The method is based on Robust Fixed Point Transformations (RFPT)-based adaptive control that needs only the main factors in the emission: the traffic density and velocity. For controlling it applies electric road signs for the prescribed velocities and allowed ingress rate from the ramp in the preceding sector. This is a new area for the RFPT, but as the simulations show it is successfully applyable to the problem.
Keywords :
adaptive control; air pollution control; road traffic; robust control; adaptive emission control; air pullution; electric road signs; emission models; freeway traffic; hydrodynamic traffic models; ingress rate; modeling inconsistences compensation; robust fixed point transformations-based adaptive control; rough initial model; traffic jams; Adaptation models; Approximation methods; Equations; Mathematical model; Roads; Traffic control; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Machine Intelligence and Informatics (SAMI), 2012 IEEE 10th International Symposium on
Conference_Location :
Herl´any
Print_ISBN :
978-1-4577-0196-2
Type :
conf
DOI :
10.1109/SAMI.2012.6208933
Filename :
6208933
Link To Document :
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