AS
Ing. Nathalia Khailova, Ph.D.
Ing. Hong Gao, Ph.D.
Ing. Li He, Ph.D.
Ing. Petya Ivanova, Ph.D.
Markéta Valečková
Optimization of the economy of driving based on the currently measured data
New methods for urban traffic control in congested areas
PhD. Topic: Theory and algorithms for probabilistic support of operators (Kárný)
Hierarchical control and decision making connected with complex processes always contains a layer in which, decsions are made by human being, by an "operator". The proposed topic is related to a group of projects, which aims to create an advanced computer support of such decsion making. Existing original probabilistic theory already proved to efficient for this task. There is however a range of theoretical, algorithmic and software problems that remain to be solved in order to get widely applicable tool.
[1] Kárný M., Böhm J., Guy T. V., Nedoma P.: Mixture-based adaptive probabilistic control. International Journal of Adaptive Control and Signal Processing, 17 (2003), 2, 119-132. [2]Kárný Miroslav, Böhm Josef, Guy Tatiana Valentine, Jirsa Ladislav, Nagy Ivan, Nedoma Petr, Tesař Ludvík : Optimized Bayesian Dynamic Advising: Theory and Algorithms, Springer, (London 2006) [3]Kárný Miroslav, Guy Tatiana Valentine: Fully probabilistic control design , Systems and Control Letters vol.55, 4 (2006), p. 259-265 [4] Quinn A., Kárný Miroslav, Guy Tatiana Valentine : Fully probabilistic design of hierarchical Bayesian models , Information Sciences vol.369, 1 (2016), p. 532-547