Abstract
The article deals with the creation of training courses scenarios. The main objective of the development of software components of the training system is the ability to create an algorithmic structure of training fragments representing test tasks, workshops and just information support. On the basis of this instrumental environment a practical work on the topic of statistical analysis, modeling and forecasting of passenger flows in the urban route network has been developed. The study of passenger flows is considered as one of the important stages of designing and organizing the route network of the urban passenger transport. The purpose of this article is to develop a training scenario aimed at identifying hidden patterns of passenger flows at stopping points of bus routes with the subsequent development stage of associated models of random flows with specified autocorrelation properties .In addition to the auto-correlation estimation and spectral analysis, the main components analysis which allows to reduce significantly the dimensionability of the multidimensional time series of passenger flows at the stopping points of the route is carried out.
Highlights
Formalized description of the elementary applicationThe training scenario is a set of elementary applications and data decoupling
The instrumental environment of the educational scenario formation whose volume is determined by the number of heterogeneous educational fragments [1] including multimedia [2], launching of mathematical packages applications [3,4], interactive [5] test tasks fragments [6,7] etc is given in this article
Instrumental means of a hybrid training system allow to form an algorithmic structure of software applications due to transitions between applications under the conditions of its completion using a standardized interface, so o user scenario is created
Summary
The training scenario is a set of elementary applications and data decoupling. Where Сij —a condition determining a transition from i fragment to j one; Сij rijaij Fi yij tij ij Fi. 0, otherwise, where N — a number of fragments in the structural element; rij — a result of the fragment presentation; αij — a comparison operation of the actual and predetermined results of the fragment presentation (≠, ); tij — a duration of the fragment presentation; βij — a comparison operation of the actual and predetermined duration of the fragment presentation (≠, ); γij — a logical operation of the condition combination at the result and the duration of the fragment presentation (٧, ۸); φ(Fi) —a function definition of the actual result of the fragment presentation Fi; ψ(Fi) — a function definition of the actual duration of the fragment presentation Fi. The access level determines the enclosure of the scenario structure. The parametrization of the application enables no only to make and to solve the issues of coordination according to the data of different applications included in one training scenario
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