DocumentCode
2585322
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
fYear
2000
fDate
2000
Firstpage
161
Lastpage
166
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Transportation Systems, 2000. Proceedings. 2000 IEEE
Conference_Location
Dearborn, MI
Print_ISBN
0-7803-5971-2
Type
conf
DOI
10.1109/ITSC.2000.881043
Filename
881043
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