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An Intelligent Control for Crossroads Traffic Light

An Intelligent Control for Crossroads Traffic Light. ELEN 6778 APPLY NETWORK TECH/PHYSCL SYST Professor Nicholas F. Maxemchuk Liyan Sun. Objective. To improve the delay time in vehicles By using Graph Theory and Fuzzy control method Compared with the traditional control of time-fixed.

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An Intelligent Control for Crossroads Traffic Light

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  1. An Intelligent Control for Crossroads Traffic Light ELEN 6778 APPLY NETWORK TECH/PHYSCL SYST Professor Nicholas F. Maxemchuk Liyan Sun

  2. Objective • To improve the delay time in vehicles • By using Graph Theory and Fuzzy control method • Compared with the traditional control of time-fixed

  3. Outline • Introduction • Analysis of Traffic Control System • Graph Theory • Analyze the Regulation by using Fuzzy Control • Conclusion (Simulation Result)

  4. Outline • Introduction • At present, the control of fixed conversion time is widely used in each intersection traffic light in urban. • For single intersection, we usually uses timing control scheme, which is based on the historical data of the traffic flow, artificially distributed the traffic light time in N-S and E-W direction in advance.

  5. Outline • Introduction • However, actual observation indicates that the vehicle flux is unbalanced between highs and lows of the traffic flow. • Fuzzy control can control the random and complex urban traffic effectively as it doesn’t need to build accurate mathematical model.

  6. Outline– Fuzzy Control

  7. Intersection Models

  8. Effective Adjusting Model

  9. The Phase Diagram

  10. Phase Diagram (in our project)

  11. Outline---Design • The Design of Vehicle Sensor • Control Strategy • The Design of Fuzzy Controller

  12. Simulation Result

  13. Detail---Control Strategy • Li(i=a,b,…,f), represents the present number of vehicles in the driveway • Traffic queues(N), in the test area which are on traffic • Waiting queues(W), in other lanes which are waiting detected

  14. The design of Fuzzy Controller • 2 inputs and 1 output • Inputs: Access Queue Length N and Waiting Queue Length W • Output: Green Light Time T • Comment Sets {NB(very little), NS(a little), ZE(medium), PS(many), PB(a great many)}

  15. The design of Fuzzy Controller

  16. The design of Fuzzy Controller

  17. Membership Function Curve

  18. The Control Rules of T • Based on expert’s experience and repeatedly debugging

  19. Simulation Result

  20. Thank You

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