An architectural framework for the support of intelligent vehicular network monitoring: invited paper

In this paper we propose an efficient, scalable and secure architectural framework for the monitoring of multiple fixed and mobile sensors, designed for road traffic incident detection. The Grid provides the means to control the sensors and gather information with security and reliability. The system includes a Decision Support Service that fuses multi-metric data from heterogeneous sensors to produce a global and comprehensive view of the vehicular network state. The adopted fusion algorithm is based on the application of Principal Component Analysis on multi-metric data, and provides an efficient way of taking into account the combined effect of the correlated observed data, for incident detection purposes. Finally, the performance and operational effectiveness of the proposed approach and system is evaluated via modeling and simulation.