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原文传递 Pattern-Based Time-Discretized Method for Bus Travel Time Prediction
题名: Pattern-Based Time-Discretized Method for Bus Travel Time Prediction
其他题名: Bhandari,R.R.(2005)."Bus arrival time prediction using stochastic time series and Markov chains."Ph.D.dissertation,Dept.of Civil Engineering,New Jersey Institute of Technology,Newark,NJ.
正文语种: 英文
作者: B. Anil Kumar
关键词: Intelligent transportation systems (ITS);Public transportation;Forecasting;Models
摘要: Predicting and providing information about bus arrival time to passengers accurately is a very important aspect of advanced public transportation systems (APTS), a major functional area of intelligent transportation systems. However, the information provided to passengers should be reliable. The reliability of such information provided to passengers depends on the prediction method used, which in turns depends on the input data used in the method. This means that identifying the most significant/appropriate input data and using them in the method are important. So, in the present study, travel time pattern analysis was carried out to find the most significant inputs by performing statistical tests for each day of the week separately. Also, a model-based Kalman filtering algorithm was developed to predict bus travel time by using the identified patterns effectively based on temporal discretization under heterogeneous traffic conditions. The performance of the proposed algorithm showed a clear improvement in prediction accuracy when compared with a prediction method using space discretization.
出版年: 2017
论文唯一标识: P-72Y2017V143N06002
英文栏目名称: TECHNICAL PAPERS
doi: 10.1061/JTEPBS.0000029
期刊名称: Journal of Transportation Engineering
拼音刊名(出版物代码): P-72
卷: 143
期: 06
页码: 1-15
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