In the presence of several user categories or transportation modes, or when transportation costs on each arc of a network depend on the flows on adjacent arcs, the traffic equilibrium problem may be expressed as a variational problem. Methods for determining traffic equilibria are then adaptations of techniques for solving variational inequalities. In this paper, we present a new convex optimization formulation for the general traffic equilibrium problem, and propose a simple iterative method for calculating traffic equilibria, which essentially involves postoptimizing a linear sub-problem at each iteration. Preliminary computational results are reported.
This chapter is a report on the findings of a user interface evaluation process performed on a decision support system named ECONOF. The issue of properly evaluating the visualization component of a system’s user interface is first addressed. Then, the usefulness of the results obtained is shown through the illustration of the improvements made to the ECONOF visualization component. As the user interface evaluation step in most software design and development projects is more often than not neglected, when not totally bypassed, computer professionals need to be more aware of the importance of the user interface design step within any kind of development life cycle.
Results obtained from our past research programs were used to provide managers with models and tools that concern the process of organizational knowledge management. The models and tools are based on actual data. They aim at allowing the alignment of the continuous training to the business strategic plan. The analysis of empirical data allowed the finding of factors, criteria and weights to be incorporated in a model named ECONOF. This paper first presents this multicriterion model with the software tool related. An example of criteria and subcriteria is presented. The process of finding criteria with their associate weights is explained. Results produced by ECONOF are then presented. The model helps managers to find continuous training activities that fit the priorities and resources set in the strategic plan. Then, we explain why we decided to move towards a mathematical model. The basic mathematical model that was developed from a subset of criteria and subcriteria used and validated with the existing ECONOF multicriterion model is then presented. Future enhancements of the mathematical model are finally mentioned.
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