By M. Papageorgiou
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Extra resources for Applications of Automatic Control Concepts to Traffic Flow Modeling and Control
LOO; ......... ), estimated without with correction of i n c i d e n t s detection only speed m e a s u r e d are c o m p l e t e l y to a s i g n i f i c a n t of view, depending accidents on w h e t h e r or p a r t i a l l y change closed of the p r o c e s s e s on a f r e e w a y is one of the m o s t in the a r e a of t r a f f i c point of s e v e r i t y or a c c i d e n t d a t a are a v a i l a b l e data processing. m a y occur any, one, which in m a n y or m o r e corresponds behaviour.
A l s o the data were used to g e n e r a t e of cars c r o s s i n g segment. speed and a r r i v a l the sensor locations Initial choices time at the both ends of the have been taken inaccurate. 4 shows mate. 5 shows on a d i g i t a l from both was compared speed o b t a i n e d the c o m p a r i s o n Figure implemented data segment with the true f r o m the real data. of the true c a r c o u n t the p l o t s of the true com- ends. The segment Figure and its e s t i - segment mean speed and its estimate.
This completes for Kalman filtering. 18), (AIo17), to eqn. ,n. 2) w i t h an additional ~6(k). For the case j=1, Vo=V I is set, w h i l s t equations of eqns. 2) with of A p p e n d i x I and to the m e a s u r e m e n t Kalman Filter can be derived. b) Results The recursive estimator for a long section has been tested on the basis of real traffic tion as in section data from the same freeway 3. 1. The time interval was 10 sec. 6. The b r e a k d o w n is reproduced fairly the results congestion for the m e a s u r e m e n t of about set as in figure 10 m i n u t e s of t r a f f i c accurately.