Intelligent approach to vehicle routes planning base on artificial neural networks prediction model / Daniel Kubek, Paweł Więcek // W: ITISE 2017 : International Work-Conference on Time Series, Granada, ... więcej

Intelligent approach to vehicle routes planning base on artificial neural networks prediction model / Daniel Kubek, Paweł Więcek // W: ITISE 2017 : International Work-Conference on Time Series, Granada, September, 18-20 2017 : proceedings. Vol. 1 [Dokument elektroniczny] / eds. Olga Valenzuela [et al.]. – [S.l.] : Godel Impresiones Digitales, 2017. – S. 232-245 : schem., tab., wykr. – Tryb dostępu: http://itise.ugr.es/. – Bibliogr. 40 poz., Abstr. – Dostęp po zalogowaniu. – ISBN 978-84-17293-01-7

The aim of the article is to present an approach to robust optimization of vehicles routes within the urban area, based on the driving times short-term predictions in the selected area of the urban road ... więcej

The aim of the article is to present an approach to robust optimization of vehicles routes within the urban area, based on the driving times short-term predictions in the selected area of the urban road network. The forecasted values of the travel times were determined by the use of artificial neural network prediction model, taking into account the certain degree of forecast uncertainty, expressed by a given prediction error. The effectiveness of the proposed in the work solution has been verified on the basis of the results obtained by the classic optimization process wherein the optimization parameters are certain and accurate. The received simulation results indicate that use of forecasting techniques with robust optimization models has a positive impact on the quality of final solutions.