Adaptive communications solutions in complex transport telematics systems

Getting ITS (Intelligent Transport systems) applications in the real practice can significantly help to the faster resolving of the different transport optimization tasks. Intelligent communications services applied between subsystems represent one of the critical parts of this issue. Due to complexity of the IST solution and mobility as the typical system elements property idea of communications systems with multipath structures is introduced. Decision processes designed for multi-technology seamless switching within a set of available continuously monitored alternatives are presented. CALM based system or specifically designed and configured L3/L2 switching are understood as relevant routing/switching solutions. Adaptive decision processes are based on precisely quantified system requirements which are defined by performance indicators tolerance range. Proposed approach is based on Kalman filtering of measured data, which separates reasonable part of noise and allows prediction of the individual parameters near future behavior. Presented self-trained classification algorithm is applied on filtered measured data combined with deterministic parameters. Training data represent grouping of parameters vectors time line with available correct decisions. These tools are designed specifically for the multi-path communications system. However, presented principles are open for future penetration into whole system adaptive management.