Sun

Report
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
Outline
 Introduction
 Analysis of Traffic Control System
 Graph Theory
 Analyze the Regulation by using Fuzzy Control
 Conclusion (Simulation Result)
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.
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.
Outline– Fuzzy Control
Intersection Models
Effective Adjusting Model
The Phase Diagram
Phase Diagram (in our project)
Outline---Design
 The Design of Vehicle Sensor
 Control Strategy
 The Design of Fuzzy Controller
Simulation Result
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
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)}
The design of Fuzzy Controller
The design of Fuzzy Controller
Membership Function Curve
The Control Rules of T
 Based on expert’s experience and repeatedly
debugging
Simulation Result
Thank You

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