DocumentCode
1579088
Title
Prediction of daily traffic volumes by using autoregressive models
Author
Suzuki, Yoshinobu
Author_Institution
Traffic Manage. & Control Div., Chiba Prefectural Police Headquarters, Japan
fYear
1999
fDate
6/21/1905 12:00:00 AM
Firstpage
116
Lastpage
118
Abstract
The Chiba Police Headquarters Traffic Control Center has accumulated traffic information such as traffic flows, time occupancy, and travel times. In this paper we attempt to predict the average daily traffic volumes by employing autoregressive models to upgrade the functions of traffic control
Keywords
autoregressive processes; forecasting theory; road traffic; traffic control; transportation; Chiba Police Headquarters; autoregressive models; daily traffic volume prediction; road traffic; time occupancy; traffic flows; travel times; Autocorrelation; Centralized control; Least squares methods; Lighting control; Predictive models; Space stations; Stochastic processes; Traffic control; Vehicles; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Transportation Systems, 1999. Proceedings. 1999 IEEE/IEEJ/JSAI International Conference on
Conference_Location
Tokyo
Print_ISBN
0-7803-4975-X
Type
conf
DOI
10.1109/ITSC.1999.821037
Filename
821037
Link To Document