Modeling and analysis of situations in virtual environment of moving objects

A method for analysis of situations on a set of moving objects is proposed. The method is based on comparison of standard behavior models with the actual behavior, obtained as a result of observation of moving objects. The main difference of the proposed method from the known ones consists in the following. In addition to composing standard behavior models manually by expert, computer modeling of situations in a virtual environment can be used to produce initial time series of feature values and compose behavior models using the time series. By the example of a distinct traffic situation, the process of virtual situation modeling, time series generation and standard behavior model creation is described. The situation recognition is considered which is based on comparing in time the measured parameters of the transport vehicle motion with the standard behavior model. Advantages and disadvantages of the proposed method are discussed, future research directions are outlined.

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