Title :
Short-term traffic flow prediction models-a comparison of neural network and nonparametric regression approaches
Author :
Smith, Brian L. ; Demetsky, M.J.
Author_Institution :
Virginia Transp. Res. Council, VA, USA
Abstract :
Traffic flow prediction models are expected to play an important role in intelligent vehicle highway systems. This paper demonstrate that the nearest neighbour models have the potential to serve as accurate and portable traffic flow prediction models. Furthermore the models have the advantages of being easily understood by field personnel
Keywords :
automated highways; forecasting theory; modelling; neural nets; nonparametric statistics; road traffic; traffic control; clustering model; intelligent vehicle highway systems; nearest neighbour models; neural network; nonparametric regression; traffic flow prediction models; Application software; Computational modeling; Databases; Decision making; Intelligent sensors; Intelligent transportation systems; Intelligent vehicles; Neural networks; Personnel; Predictive models; Road transportation; Telecommunication traffic; Traffic control;
Conference_Titel :
Systems, Man, and Cybernetics, 1994. Humans, Information and Technology., 1994 IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-2129-4
DOI :
10.1109/ICSMC.1994.400094
