An optimal general type-2 fuzzy controller for Urban Traffic Network

Mohammad Hassan Khooban*, Navid Vafamand, Alireza Liaghat, Tomislav Dragicevic

*Corresponding author

Research output: Contribution to journalJournal articleResearchpeer-review

41 Citations (Scopus)


Urban traffic network model is illustrated by state-charts and object-diagram. However, they have limitations to show the behavioral perspective of the Traffic Information flow. Consequently, a state space model is used to calculate the half-value waiting time of vehicles. In this study, a combination of the general type-2 fuzzy logic sets and the Modified Backtracking Search Algorithm (MBSA) techniques are used in order to control the traffic signal scheduling and phase succession so as to guarantee a smooth flow of traffic with the least wait times and average queue length. The parameters of input and output membership functions are optimized simultaneously by the novel heuristic algorithm MBSA. A comparison is made between the achieved results with those of optimal and conventional type-1 fuzzy logic controllers.
Original languageEnglish
JournalISA Transactions
Pages (from-to)335-343
Number of pages9
Publication statusPublished - Jan 2017


  • Modified Backtracking Search Algorithm (MBSA)
  • Optimal General Type-2 Fuzzy Controller (OGT2FC)
  • Traffic Signal Control

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