New accurate method to find congestion

1. NIELIT CALICUT 4/15/2018 1
SMART RIDE
Guided By Team Members:
NIELIT CALICUT 4/15/2018 1
ED 600 PG Diploma in Embedded Real Time Systems
Mr. RAJESH M,SCIENTIST ‘C’
NIELIT CALICUT.
JEYARISH ANUSHA S
JOHN SOLOMON J
MURALIKRISHNAN M
SHERLIN MALAR P S

2. Objective
• To provide real time traffic monitoring in order to make our roads
safer and smarter
NIELIT CALICUT 4/15/2018 2

3. CLOUD
CONTROL ROOM
4/15/2018 3
NIELIT CALICUT
TRAFFIC
DENSITY
AMBULANCE
DIRECTION
CONTROL
ROOM DATA
DESTINATION
STATUS
REQUEST
CONCEPT

4. HARDWARE REQUIREMENTS
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Component Specification Quantity
Microcontroller Arduino nano 1
Wi-Fi module NODE MCU 12E 4
Infrared sensor 3 pairs
Led Red, green 10 each
battery 9v 6
Transformer 230/12v 2
Diode 4
Voltage regulator 7805 2
Capacitor 100mf/5v 2

5. SOFTWARE REQUIREMENTS
• Arduino 1.8.1
• Firebase DB
• MIT APP inventor 2
• OrCAD
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6. ABSTRACT:
• Each vehicle user will be having ‘Smart Ride’ Mobile Application
• GPS based location acquisition from Mobile Phones
• Congestion Detection based onTraffic density monitoring
• Blind SpotVehicle Alert System
• Broadcast message to all vehicles about Ambulance approach path
• Cloud Server Data Update
4/15/2018 6NIELIT CALICUT
PROJECT IMPLEMENTATION

7. NIELIT CALICUT 4/15/2018 7
TRAFFIC DENSITY AND COUNT MEASUREMENT

8. BLINDSPOT VEHICLE ALERT
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9. CIRCUIT DIAGRAM
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J4
IR sensor1
1
2
3
D8
LED
J1
CON3
1
2
3
D10
LED
D7
LED
D9
LED
U4
NODEMCU ESP8266
12
10
9
16
11
1
2
3
4
5
6
7
8
30
29
28
25
24
27
26
22
20
19
18
13
23
14
15
17
21
EN
GND
CLK
3V3
3V3
A0
RSV
RSV
SD3
SD2
SD1
CMD
SD0
GPIO16
GPIO5
GPIO4
3V3
GND
GPIO0
GPIO2
GPIO12
GPIO15
GPIO3/RX
GPIO1/TX
RST
GPIO14
GND
VIN
GND
GPIO13
0
U3
ARDUINO NANO
29
28
27
26
20
19
18
17
16
2
3
4
5
6
7
8
9
10
11
12
13
14
15
22
21
24
30
25
23
1
D11
D10
D9
D8
D2
GND
RST
RX1
TX1
GND
RST
5V
A7
A6
A5
A4
A3
A2
A1
A0
VREF
3v 3
D13
D4
D3
D6
D12
D7
D5
VIN
D11
LED
D12
LED
HI
J6
IR sensor3
1
2
3

10. NIELIT CALICUT 4/15/2018 10
BLOCK DIAGRAM:
SOFTWARE DESIGN

11. NIELIT CALICUT 4/15/2018 11
FLOW CHART FOR ENTIRE SOFTWARE DESIGN

12. NIELIT CALICUT 4/15/2018 12
BUILDINGBUILDING
BLIND SPOT
DETECTION SENSOR
30 cm 30 cm
50cm
TRAFFIC MONITORING UNIT AMBULANCE
DIRECTION
SERVER
INDUSTRIAL
DESIGN

13. CONCEPT BEHIND APP:
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APP
DATABASE
ESP8266WITH
MICROCONTROLLER
SENSOR1 SENSOR2
Fetch data
Get data
MOBILE APPLICATION DEVELOPMENT

14. FLOW CHART FOR APP DESIGN
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15. NIELIT CALICUT 4/15/2018 15
Free flow
Blindspot
RESULTS

16. NIELIT CALICUT 4/15/2018 16
SPEED
MEASUREMENT COUNT ER
NODE MCU FOR
DATA UPLOADING

17. NIELIT CALICUT 4/15/2018 17
FIREBASE DB FOR REALTIME INTERACTION BETWEEN SENSOR AND MOBILE APP

18. NIELIT CALICUT 4/15/2018 18
SMART RIDEAPP
APP ICON
USER INTERFACE

19. FUTURE SCOPE
• From the Cloud Server Database , the information regarding
Maintenance services, Climatic changes in the route can be updated
to the User mobile application.
• Through calculation of Shortest available paths, the system could
predict less traffic route for the journey.
• Mobile video applications can be used in recording the traffic stream
to facilitate the counting process and improve the accuracy of
density measurements.
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20. REFERENCES
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• Al-Sayed Ahmed Al-Sobky , Ragab M. Mousa,Traffic density determination
and its applications using smartphone, Alexandria Engineering Journal
(2016) 55, 513–523.
• Flavio Bonomi,The Smart and ConnectedVehicle and theInternet ofThings,
WSTS 2013
• Ashish Jain, Manisha Mittal, HarishVerma and Amrita rai,Traffic Density
Measurement based On-roadTrafficControl using Ultrasonic Sensors and
GSMTechnology, Proc. of Int. Conf. on EmergingTrends in Engineering and
Technology,2013.