By M. Papageorgiou
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Additional info for Applications of Automatic Control Concepts to Traffic Flow Modeling and Control
Qo(k) seems rea- of several under consideration. 2, needed tions are available with results,it amount /44/. a) M o d e l e g u g ~ ! 5), eqn. Vn(k) + #(k) as for eqn. + ~2(k). 16) For w O(k), w n(k) we set w O (k) = v I (k) + n O (k) and we get from eqns. 19) 49 where qo(k), density nn(k) are additional for the first segment into eqn. 1) T Pl (k+1) = Pl (k) + ~ Traffic zero m e a n noises. is derived by setting eqn. volumes an additional qj(k) between [u I (k) - ql (k)] - ~I (k). segments are given by eqn.
A stalled reduction, filter fil- uncertainties, this can be t h o u g h t where In this the m i n i m u m to d e t e c t capacity on the of the f r o m the and m o d e l for the s e v e r a l ratioproblem, f e c t of the i n c i d e n t the e s t i m a t e s Intuitively, add u n c e r t a i n t y .
1). It should be recalled, however, that this procedure implies . known initial conditions • accurate measurements. qO. 1 - State reconstruction with four input variables. 43 In an o f f - l i n e priori tor e r r o r s and besides, In an o n - l i n e fullfill~d. surements are m o r e an i n i t i a l condition however, conditions or less above inaccurate. 2 m a y result. process the m e t h o d Because ments u s e d as w i ~ be shown both of the s t o c h a s t i c and t r a f f i c dynamics, qo~ II Figure effects shown to fit for comin figure of i n p u t set d e p e n d s resp.
Applications of Automatic Control Concepts to Traffic Flow Modeling and Control by M. Papageorgiou
Categories: Linear Programming