Title :
An algorithm and implementation to predict the arrival of transit vehicles
Author :
Dailey, D.J. ; Wall, Z.R. ; Maclean, S.D. ; Cathey, F.W.
Author_Institution :
Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
Abstract :
This paper presents an algorithm to predict transit vehicle arrival times up to an hour in advance. The time series of data from an automated vehicle location system, consisting of time and location pairs, is used with historical statistics in an optimal filtering framework to predict future arrivals
Keywords :
Kalman filters; prediction theory; rapid transit systems; stochastic processes; time series; Kalman filter; arrival time prediction; filtering; public transport; stochastic processes; time series; transit vehicles; Delay effects; Filtering algorithms; Filters; Prediction algorithms; Scheduling algorithm; Statistical distributions; Stochastic processes; Transportation; Uncertainty; Vehicles;
Conference_Titel :
Intelligent Transportation Systems, 2000. Proceedings. 2000 IEEE
Conference_Location :
Dearborn, MI
Print_ISBN :
0-7803-5971-2
DOI :
10.1109/ITSC.2000.881043
