BUILDING MODELS OF FREIGHT CARS REFUSALS INVOLVING BAYESIAN APPROACH

Scheduling railway freight cars

It is dif®cult to allocate the freight cars and to determine how to load the several varieties of goods into them. In order to improve ef®ciency, a knowledge-based system (KBS) is developed and integrated into the existing railway information system. This paper introduces the development of the system and the framework in which the KBS are integrated into the existing system environments. Under...

Routing Cars in Rail Freight Service

Planning for success: The social approach to building Bayesian models

We introduce a new variant of Markov decision processes called MDPs with action results, and a variant of dynamic Bayesian networks called bowties, for modeling the effects of stochastic actions. Bowties grew out of our work on decision-support systems for advisors in the US social welfare system. Bowties, and our elicitation process for them, are designed to elicit dynamic Bayesian network fra...

Planning for success: The interdisciplinary approach to building Bayesian models

This paper describes a process by which anthropologists, computer scientists, and social welfare case managers collaborated to build a stochastic model of welfare advising in Kentucky. In the process of collaboration, the research team rethought the Bayesian network model of Markov decision processes and designed a new knowledge elicitation format. We expect that this model will have wide appli...

Numerical and Experimental Analysis of Nonlinear Parabolic Springs Employed in Suspension System of freight cars

Nonlinear vibration of parabolic springs employed in suspension system of a freight car has been studied in this paper. First, dynamical behavior of the springs is investigated by using finite element method and the obtained results are then used in vibration analysis of a railway freight car. For this purpose, dynamics of a parabolic spring subjected to a cyclic excitation has been studied ...