An Integrated Forecasting and Regularization Framework for Light Rail Transit Systems

REFERENCES

• Abdulhai , B. , Porwal , H. and Recker , W. 2002 . Short-term traffic flow prediction using neuro-genetic algorithms . Intelligent Transportation Systems Journal , 7 ( 1 ) : 3 – 41 . [CSA]
   Web of Science ®Google Scholar
• Bogni , D. , Boniardi , G. , Cislaghi , M. , Mazzilli , R. and Moro , R. 2000 . Il progetto iLRT Project Proposal
   Google Scholar
• Cecchinello , M. 2003 . Framework di simulazione, previsione e controllo in ambito metrotranviario , Dissertation in Computer Sciences Università degli Studi di Milano-Bicocca .
   Google Scholar
• Chien , S. , Ding , Y. and Wei , C. 2002 . Dynamic bus arrival time prediction with artificial neural networks . Journal of Transportation Engineering , 128 ( 5 ) : 429 – 438 . [CSA]
   Web of Science ®Google Scholar
• Chien , S. , Ding , Y. and Zayas , N. 2001 . Microscopic simulation of bus transit operations—Case study: Bus Rt. #39 of New Jersey Transit . Journal of the Transportation Research Board , 1731 : 104 – 111 . [CSA]
   Google Scholar
• Ding , Y. and Chien , S. 2001 . Improving transit service quality and headway regularity with real-time control . Journal of the Transportation Research Board , 1760 : 161 – 170 . [CSA]
   Google Scholar
• Fu , K. S. 1982 . Syntactic Pattern Recognition and Applications , Engelwood Cliffs, NJ : Prentice Hall .
   Google Scholar
• Gaivoronski , A. A. 1994 . Convergence properties of back-propagation for neural nets via theory of stochastic gradient methods, Part I . Optimization Methods and Software , 4 : 117 – 134 . [CSA]
   Google Scholar
• Hassibi , B. and Stork , D. G. 1993 . Second derivatives for network pruning: optimal brain surgeon 164 – 171 . In NIPS5
   Google Scholar
• Hertz , J. , Krogh , A. and Palmer , R. G. 1991 . Introduction to the Theory of Neural Computation , Reedwood City, CA : Addison Wesley .
   Google Scholar
• Kalaputapu , R. and Demetsky , M. J. 1995 . Application of artificial neural networks and automatic vehicle location data for bus transit schedule behavior modeling . Journal of the Transportation Research Board , 1497 : 44 – 52 . [CSA]
   Google Scholar
• Koffman , D. A. 1978 . Simulation study of alternative real-time bus headway control strategies . Journal of the Transportation Research Board , 663 : 41 – 46 . [CSA]
   Google Scholar
• Kung , S. Y. 1993 . Digital Neural Networks , Engelwood Cliffs, NJ : Prentice Hall .
   Google Scholar
• McKeown , J. J. 1975 . Specialized versus general-purpose algorithms for minimizing functions that are sums of squared terms . Mathematical Programming , 9 : 57 – 68 . [CSA] [CROSSREF]
   Google Scholar
• McKeown , J. J. , Stella , F. and Hall , G. 1997 . Some numerical aspects of the training problem for Feed-Forward Neural Nets . Neural Networks , 10 : 1455 – 1463 . [CSA] [CROSSREF]
   Google Scholar
• Najjar , Y. M. , Stokes , R. W. and Russell , E. R. 2000 . Setting speed limits on kansas two-lane highways . Journal of the Transportation Research Board , 1708 : 20 – 27 . [CSA]
   Google Scholar
• Poggio , T. and Girosi , F. Networks for approximation and learning . Proceedings of the IEEE . Vol. 78 , pp. 1481 – 1497 .
   Google Scholar
• Ripley , B. D. 1996 . Pattern recognition and neural networks , Cambridge : Cambridge University Press .
   Google Scholar
• Sanchini , A. 2003 . Una suite per la modellazione e la simulazione di metrotranvie leggere , Dissertation in Computer Sciences Università degli Studi di Milano-Bicocca .
   Google Scholar
• Silani , S. and Stella , F. 2001 . Nonlinear regression and neural networks . International Journal of Mathematical Algorithms , 2 : 163 – 200 . [CSA]
   Google Scholar
• Smith , B. L. and Demetsky , M. J. 1994 . Short-term traffic flow prediction: Neural network approach . Journal of the Transportation Research Board , 1453 : 98 – 104 . [CSA]
   Google Scholar
• Thimm , G. and Fiesler , E. Evaluating pruning methods . Proceedings of the International Symposium on Artificial Neural Networks .
   Google Scholar
• Vuchic , V. 1981 . Urban Public Transportation, System and Technology , Prentice-Hall .
   Google Scholar
• White , H. 1989 . Learning in artificial neural networks: A statistical perspective . Neural Computation , 1 : 425 – 464 . [CSA]
   Web of Science ®Google Scholar