Bibliography

(eng): The paper deals with an application of Bayes for estimation of the queue length in junction arm. In Bayesian view the concept of probability is not interpreted in terms of limits of relative frequencies but more generally as a subjective measure of belief of a rationally and consistently reasoning person which is used to describe quantitatively the uncertain relationship between the statistician and the external world. This model splits controlled networks into microregions. The queue length and the occupancy of each junction approach are the basic state quantities for fully expressed traffic situation at given time instant. The occupancy determines relative time of the detector activation during sample period, i.e. the proportion of time when detector has been occupied and total time of measuring period. The optimization criterion for this attitude is minimization of the queue length. For clearness, the model is derived for simple junction.