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OVERVIEW
INTRODUCTION
NEED OF TRAFFIC COUNT
EXISTING METHODS
DRAWBACKS
SMART TRAFFIC COUNTER
HARDWARE COMPONENTS
METHODOLOGY
CALCULATIONS
CONCLUSION
6/27/20182
INTRODUCTION
TRAFFIC DATA COLLECTION IS BASIC REQUIREMENT FOR THE
TRANSPORTATION PLANNING. TRAFFIC DATA FORMS AN INTEGRAL
PART OF NATIONAL ECONOMICS AND SUCH KNOWLEDGE IS
ESSENTIAL DRAWING UP A NATIONAL TRANSPORT POLICY FOR
MOVEMENT OF PASSENGERS AND GOODS BY BOTH GOVERNMENT
AND PRIVATE SECTORS. THE EXISTING METHODS ARE COSTLIER AND
REQUIRES MORE MAINTENANCE. TO OVERCOME THE PROBLEM WE
HAVE DEVELOPED A MODEL CALLED SMART TRAFFIC COUNTER
6/27/20183
NEED OF TRAFFIC COUNT
TO WIDEN ROAD
DESIGN PURPOSES
DYNAMIC TRAFFIC MANAGEMENT PURPOSES
6/27/20184
EXISTING METHODS
MANUAL METHOD
AUTOMATIC METHOD
PNEUMATIC TUBES
INDUCTIVE LOOPS
WEIGH-IN-MOTION SENSOR TYPES
VIDEO CAMERA
6/27/20185
MANUAL METHOD
6/27/20186
PNEUMATIC TUBE METHOD
6/27/20187
INDUCTIVE METHOD
6/27/20188
WEIGHT IN MOTION SENSOR
6/27/20189
VIDEO RECORDER
6/27/201810
DRAWBACKS
HIGH COST
CLASSIFICATION ISSUES
HUMAN RESOURCE REQUIREMENT
INSTALLATION TIME IS MORE
6/27/201811
WHAT IS SMART TRAFFIC COUNTER
6/27/201812
HARDWARE
COMPONENTS
ARDUINO UNO
ULTRASONIC SENSORS
MEMORY CARD MODULE
MEMORY CARD
6/27/201813
METHODOLOGY
6/27/201814
REVIT MODEL
6/27/201815
CALCULATIONS
• W=(D-(D1+D2));
• PCU= (PCU VALUE)*(VEHICLE COUNT)
6/27/201816
CAR 1.0
MOTORCYCLE 0.5
BICYCLE 0.2
LCV 2.2
BUS, TRUCK 3.5
3-WHEELER 0.8
Vehicles Width(m)
Bike 0.75
Auto rickshaw 1.3
Car 1.8
Bus 2.56
truck 2.6
OUTPUT
6/27/201817
OUTPUT
6/27/201818
OUTPUT
6/27/201819
ADVANTAGES
ACCURACY
LESS COST
EASY INSTALLATION
SUITABLE FOR PEAK, 7 DAYS TRAFFIC COUNT
CLASSIFICATION OF VEHICLES
BEST SUITABLE FOR SINGLE WAY, STATE HIGHWAY, VILLAGE
ROADS
6/27/201820
DISADVANTAGES
BARRICADES REQUIRED
DISTURBANCE TO TRAFFIC
6/27/201821
CONCLUSION
SINCE THE PROJECT IS IN STILL DEVELOPING STAGE SOME
DISADVANTAGES MAY BE ELIMINATED. THE HIGH STORAGE,
PERFECT CLASSIFICATION OF VEHICLES MAKES IT A SMART
TRAFFIC COUNTER
6/27/201822
REFERENCES
GUILLAUME LEDUC, ROAD TRAFFIC DATA: COLLECTION METHODS AND
APPLICATIONS
MURUGAVEL RAJU ULTRASONIC_DISTANCE_MEASUREMENT MSP430
APPLICATIONS; TEXAS INSTRUMENTS INC
6/27/201823
Smart Traffic Counter
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