An Intelligent Control for Crossroads Traffic Light

ELEN 6778 APPLY NETWORK TECH/PHYSCL SYSTProfessor 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

OutlineIntroduction

Analysis of Traffic Control System

Graph Theory

Analyze the Regulation by using Fuzzy Control

Conclusion (Simulation Result)

OutlineIntroductionAt 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.

OutlineIntroductionHowever, 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---DesignThe Design of Vehicle Sensor

Control Strategy

The Design of Fuzzy Controller

Simulation Result

Detail---Control StrategyLi (i=a,b,…,f), represents the present number

ofvehicles in the drivewayTraffic queues(N), in the test area which are

on trafficWaiting queues(W), in other lanes which are

waiting detected

The design of Fuzzy Controller2 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 TBased on expert’s experience and repeatedly

debugging

Simulation Result

Thank You