Title

OPTIMIZATION OF RAILWAY OPERATIONS USING NEURAL NETWORKS

Document Type

Journal Article

Publication Date

1996

Subject Area

land use - planning, ridership - commuting, mode - rail

Keywords

Train operation, Train handling, Railways, Railroads, Optimization, Optimisation, Network analysis (Planning), Artificial intelligence

Abstract

In this paper, neural networks (an empirically-based AI approach) are examined for obtaining good solutions in short time periods for the train formation problem (TFP). Following an overview, and formulation of railroad operations, a neural network formulation and solution to the problem are presented. First a training process for neural network development is conducted followed by a testing process that indicates that the neural network model will probably be both sufficiently fast, and accurate, in producing train formation plans.

Comments

Transportation Research Part C Home Page: http://www.sciencedirect.com/science/journal/0968090X