Type-2-fuzzy rule base system based on ECUs communication in a smart city vehicular environment

摘要

Smart City automation has become crucial notion for improving the quality of the citizens' lives, which gives growth to smart cities. Such improvement requires an increase in the number of Electronic Control Units (ECUs) and networking technologies in the automotive field and, consequently in the amount of exchanged signals and messages on the in-vehicle network. This upgrading imposed new requirements in terms of data rates, performance, capacity, efficiency, etc. A specialized traffic analyzing system is well needed to scrutinize all exchanged data. These systems allow automotive network diagnostic and ECU's testing by controlling local networks and giving a graphic display of network traffic statistics. This paper presents the challenges of a high performance in-car network traffic analyzer and the use of the analysis results as input data in a type 2 fuzzy Rule base system for road choice.