Dynamic multi-interval bus travel time prediction using bus transit data

References

• Ahmed , M and Cook , A . 1979 . Analysis of freeway traffic time series data by using Box–Jenkins techniques . Transportation Research Board , 722 : 1 – 9 .
   Google Scholar
• Altman , NS . 1992 . An introduction to kernel and nearest-neighbor nonparametric regression . The American Statistician , 46 : 175 – 185 .
   Web of Science ®Google Scholar
• Cathey , F and Dailey , D . 2003 . A prescription for transit arrival/departure prediction using AVL data . Transportation Research Part C , 11 : 241 – 264 .
   Web of Science ®Google Scholar
• Charytoniuk, W., Chen, M.S., and Olinda, P.V., 1998. Nonparametric regression based short-term load forecasting. IEEE Transactions on Power Systems
   Google Scholar
• Chen , M and Chien , S . 2001 . Dynamic freeway travel-time prediction with probe vehicle data: link based versus path based . Transportation Research Record , 1879 : 89 – 98 .
   Google Scholar
• Chen , M . 2004 . A dynamic bus arrival time prediction model based on APC data . Journal of Computer-Aided Civil and Infrastructure Engineering , 19 : 364 – 376 .
   Web of Science ®Google Scholar
• Chen , M , Lui , X and Xia , J . 2005 . Dynamic prediction method with schedule recovery impact for bus arrival time . Transportation Research Record , 1923 : 208 – 217 .
   Google Scholar
• Chien , S , Ding , Y and Wei , C . 2002 . Dynamic bus arrival time prediction with artificial neural network . ASCE Journal of Transportation Engineering , 128 : 429 – 438 .
   Web of Science ®Google Scholar
• Davis , G and Nihan , N . 1991 . Nonparametric regression and short-term freeway traffic forecasting . Journal of Transportation Engineering , 1991 : 178 – 188 .
   Google Scholar
• Disbro , JE and Frame , M . 1989 . Traffic flow theory and chaotic behavior. , New York State Department of Transportation Report FHWA/NY/SR-98/91 New York
   Google Scholar
• Jeong , R and Rilett , LR . 2005 . Prediction model of bus arrival time for real-time applications . Transportation Research Record , 1927 : 195 – 204 .
   Web of Science ®Google Scholar
• Kalaputapu , R and Demetsky , MJ . 1995 . Modeling schedule deviations of buses using automatic vehicle-location data and artificial neural networks . Transportation Research Record , 1479 : 44 – 52 .
   Google Scholar
• Karlsson , M and Yakowitz , S . 1987 . Rainfall-runoff forecasting methods, old and new . Stochastic Hydrology and Hydraulics , 1 : 303 – 318 .
   Web of Science ®Google Scholar
• Lin , WH and Zeng , J . 1999 . Experimental study of real-time bus arrival time prediction with GPS data . Transportation Research Record , 1666 : 101 – 109 .
   Google Scholar
• Mulhern , FJ and Caprara , RJ . 1994 . A nearest neighbor model for forecasting market response . International Journal of Forecasting , 10 : 191 – 207 .
   Web of Science ®Google Scholar
• Park , D and Rilett , LR . 1999 . Forecasting freeway link travel times with a multilayer feedforward neural network . Computer-Aided Civil and Infrastructure Engineering , 14 : 357 – 367 .
   Google Scholar
• Qi , Y and Smith , BL . 2004 . Identifying nearest-neighbors in a large-scale incident data archive . Transportation Research Record , 1879 : 89 – 98 .
   Google Scholar
• Robinson , P . 1983 . Nonparametric estimators for time series . Journal of Time Series Analysis , 4 : 185 – 207 .
   Google Scholar
• Shalaby , A and Farhan , A . 2004 . Prediction model of bus arrival and departure times using AVL and APC data. . Journal of Public Transportation , 7 ( 1 ) : 41 – 61 .
   Google Scholar
• Smith , BL and Demetsky , MJ . 1995 . Short-term flow prediction: neural network approach . Transportation Research Record , 1453 : 98 – 104 .
   Google Scholar
• Smith , BL , Williams , BM and Oswald , RK . 2002 . Comparison of parametric and nonparametric models for traffic flow forecasting . Transportation Research Part C , 10 : 303 – 321 .
   Web of Science ®Google Scholar
• Sun , H . 2003 . Use of local linear regression model for short-term traffic forecasting . Transportation Research Record , 1936 : 143 – 150 .
   Google Scholar
• Wehenkel , L . 1996 . Contingency severity assessment for voltage security using nonparametric regression techniques . IEEE Transactions on Power Systems , 11 : 101 – 111 .
   Google Scholar