ELEN 6778 APPLY NETWORK TECHPHYSCL 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 timefixed ID: 196223
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Slide1
An Intelligent Control for Crossroads Traffic Light
ELEN 6778 APPLY NETWORK TECH/PHYSCL SYST
Professor Nicholas F.
Maxemchuk
Liyan
SunSlide2
Objective
To improve the delay time in vehicles
By using Graph Theory and Fuzzy control method
Compared with the traditional control of time-fixedSlide3
Outline
Introduction
Analysis of Traffic Control System
Graph Theory
Analyze the Regulation by using Fuzzy Control
Conclusion (
Simulation Result)Slide4
Outline
Introduction
A
t 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
.Slide5
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.Slide6
Outline– Fuzzy ControlSlide7
Intersection ModelsSlide8
Effective Adjusting ModelSlide9
The Phase DiagramSlide10
Phase Diagram (in our project)Slide11
Outline---Design
The Design of Vehicle Sensor
Control Strategy
The Design of Fuzzy ControllerSlide12
Simulation ResultSlide13
Detail---Control Strategy
L
i
(
i
=
a,b
,…,f)
,
represents
the present number of
vehicles in the
driveway
Traffic queues(N), in the test area which are on trafficWaiting queues(W), in other lanes which are waiting detected Slide14
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)}Slide15
The design of Fuzzy ControllerSlide16
The design of Fuzzy ControllerSlide17
Membership Function CurveSlide18
The Control Rules of T
Based on expert’s experience and repeatedly debuggingSlide19
Simulation ResultSlide20
Thank You