Title :
Neural-Based Vehicle Travel Time Prediction Noised by Different Influence Factors
Author :
Turchenko, Volodymyr ; Demchuk, Viktor
Author_Institution :
Ternopil State Econ. Univ., Ternopil
fDate :
Feb. 28 2006-March 4 2006
Abstract :
An approach to vehicle travel time prediction using neural networks taking into account a set of influence factors is presented in this paper. There is considered development of the simulation model for experimental researches and architecture of multi-layer perceptron used for the research. The achieved results are showed sufficient accuracy of proposed approach.
Keywords :
multilayer perceptrons; neural nets; road vehicles; traffic engineering computing; transportation; influence factors; multi-layer perceptron; neural networks; vehicle travel time prediction; Artificial intelligence; Artificial neural networks; Intelligent systems; Intelligent transportation systems; Intelligent vehicles; Multilayer perceptrons; Neural networks; Predictive models; Road transportation; Traffic control; artificial neural networks; intelligent transportation systems; vehicle travel time prediction;
Conference_Titel :
Modern Problems of Radio Engineering, Telecommunications, and Computer Science, 2006. TCSET 2006. International Conference
Conference_Location :
Lviv-Slavsko
Print_ISBN :
966-553-507-2
DOI :
10.1109/TCSET.2006.4404493
