DocumentCode
292057
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
Volume
2
fYear
1994
fDate
2-5 Oct 1994
Firstpage
1706
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICSMC.1994.400094
Filename
400094
Link To Document