Title :
Prediction of daily traffic volumes by using autoregressive models
Author :
Suzuki, Yoshinobu
Author_Institution :
Traffic Manage. & Control Div., Chiba Prefectural Police Headquarters, Japan
fDate :
6/21/1905 12:00:00 AM
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;
Conference_Titel :
Intelligent Transportation Systems, 1999. Proceedings. 1999 IEEE/IEEJ/JSAI International Conference on
Conference_Location :
Tokyo
Print_ISBN :
0-7803-4975-X
DOI :
10.1109/ITSC.1999.821037
