Evaluation of the Intelligent Electrical Transport Control Systems Computer Experiments Results Using the Method of Statistical Estimation of the Hypothesis

Intelligent Technologies in Logistics and Mechatronics Systems (ITELMS 2013) : Proceedings of the 8th International Conference 2013
Ivars Alps, Mihails Gorobecs, Anatolijs Ļevčenkovs

Purpose of this research is develop the algorithms for optimization of energy efficiency of public electric transport, safety of railway and road transport and improvement of railway level-crossing capacity using scheduling theory methods and evolutionary algorithms. For the comparison of two algorithms the paper applies first should be test that statistical estimation method of the hypothesis examining. The initial schedule was compared with those proposed by Genetic and Immune algorithms for the control of the transport system control. Algorithms are compared for better performance in searching of optimal solution.

Atslēgas vārdi
intelligent transport systems, scheduling, genetic algorithms, immune algorithms, statistical estimation

Alps, I., Gorobecs, M., Ļevčenkovs, A. Evaluation of the Intelligent Electrical Transport Control Systems Computer Experiments Results Using the Method of Statistical Estimation of the Hypothesis. No: Intelligent Technologies in Logistics and Mechatronics Systems (ITELMS 2013) : Proceedings of the 8th International Conference, Lietuva, Panevezys, 27.-28. maijs, 2013. Kaunas: Technologija, 2013, 1.-8.lpp. ISSN 2345-0088. e-ISSN 2345-0096.

Publikācijas valoda
English (en)