Adaptive wireless access solutions in transport environment

This paper presents new attitude to adaptive control of the multi-path and multi-technology technology wireless access communications solutions. Presented approach represents response on transport processes management requirements to provide complex seamless wireless communication services in the selection of different modes coverage and guaranteed quality. Such solutions are related to communications of the vehicle to infrastructure as well as vehicle to vehicle. Such communications networking must include the inter-vehicle communication interconnect, as well. CALM based system represent relevant data routing/switching with vertical RM OSI compatible communications architecture, however, with horizontal hierarchical management structure. Authentic decision processes within these access wireless communications CALM routing/switching structures are, however, in literature discusses quite rarely. Decision processes measurable i.e. precisely enumerated system requirements are quantified by the performance indicators. As result of application analysis the relevant performance indicators are demarcated into the acceptable tolerance ranges as the starting point for following processes. In this paper we apply decision processes based on Bayes statistics as “traditional” alternative to e.g. concept of Policy-based Management (PBM) traditionally and widely applied within the IP based networks. In proposed alternative measured data are processed by Kalman filters to separate reasonable part of noise and to predict individual parameters behavior in its near future. Than self-trained classification algorithm processes filtered measured data combined with deterministic parameters like the services economy, policy etc. Training data block represent parameters vectors time line extended by correct decisions, i.e. assignment to the appropriate class. Even though these tools are designed specifically for the multi-path communications system, such principles are open for future penetration into whole telematic system adaptive management. Key-Words: Intelligent Transport System, Telematics, Performance Indicators, Seamless communications access service, Bayes statistics, Fisher criteria, Kalman filter, self-training processes