Intelligent Transport Systems (ITS) require widely spread and
guarantied quality communications services. Method of ITS
decomposition to set of subsystems and quantification of
communications subsystems parameters is introduced. Due to
typical complexity of the IST solution and mobility as the
typical system elements property idea of communications
systems with multipath multivendor structures is adopted.
Resolution of seamless switching within a set of available
wireless access solutions is presented. CALM based system or
specifically designed and configured L3/L2 switching can be
relevant solution for multi-path access communication system.
These systems meet requirements of the seamless secure
communications functionality within even extensive cluster of
moving objects. Competent decision processes based on
precisely quantified system requirements and each performance
indicator tolerance range must be implemented to keep service
up and running with no influence of continuously changing
conditions in time and served space.
Method of different paths service quality evaluation and
selection of the best possible active communications access path
is introduced. Proposed approach is based on Kalman filtering,
which separates reasonable part of noise and also allows
prediction of the individual parameters near future behavior.
Presented classification algorithm applied on filtered measured
data combined with deterministic parameters is trained using
training data, i.e. combination of parameters vectors line and
relevant decisions. Quality of classification is dependent on the
size and quality of the training sets.
This method is studied within projects e-Ident, DOTEK and
SRATVU which are elaborating results of project CAMNA.