Multi-layered architecture of decision support system for monitoring of dangerous good transportation

Abstract

The consideration of this study is attached to the representation of knowledge content of dynamic application domain of transportation related to the risk evaluation of possible abnormal situations of dangerous good transportation. Multi-layered conceptual architecture is assembled by the models of knowledge representation at higher level including conceptual models of information structures, dynamic process analysis, and problem solving tasks in transportation processes of dangerous goods. The model represents behavioral analysis of target system based on Petri nets. The paper presents the technological platform how aggregate sensor components integrated with mobile technology can support the on-line processing of real data for localization and monitoring of transport objects and allow on-line recognition of abnormal situations. The representational platform describes a general component model that is a basis for expressing properties of knowledge of domain for informational structure specification.