Designing a Light-Weighted Multi-Class and Novel Multiple Logical Fuzzy Controller to Manage Intelligent Urban Traffic

Intelligent urban traffic management is one the essential needs of metropolises. Several fundamental requirement must be considered in intelligent traffic management systems including waiting time in queue, congestion control, travel time reduction, prioritizing emergency vehicles and decrease in air pollutions. Achieving these goals with maximal coverage is one of the significant challenges in traffic management systems. Regarding broad and dynamic nature of traffic conditions, related studies lacks designing a comprehensive intelligent traffic management protocol with low computational complexity and cost. Therefore, an exclusive and severe attempt should be made so as to resolve these issues and challenges. This paper aims at addressing an intelligent low cost protocol with low computational cost for traffic management. A hierarchical multilayer fuzzy system is utilized, so as to compute green period and to prioritize different traffic signal phase which results in great decrease of rules in related database as well as computational complexity.