To estimate the speed of the vehicle in urban environment and also to intimate to the near by hospitals if an accident has occured.

1. SENSING THE VEHICLE SPEED TO ESTIMATE DRIVING
CONDITIONS IN URBAN ENVIRONMENT
BATCH NO : 11
ECE - C
 PROJECT GUIDE: S. KRISHNA PRASAD M.Tech
Asst. Professor
 PROJECT MEMBERS: T. SAI PAVANI (13BQ1A04E1)
V. SRAVANA SANDHYA (13BQ1A04G0)
K. MOWNIKA (14BQ5A0419)

2. AIM
 To estimate vehicle speed in urban environment to prevent the
accidents and also to intimate the near by hospitals if an
accident has occurred.

3. EXISTING SYSTEM PROPSED SYSTEM
 There is no efficient
system to control the
vehicle speed.
 If accident is occurred
there is no automatic
intimation.
 In our proposed system
we control the vehicle
speed.
 If an accident is occurred
our system automatically
intimates it to
ambulance.

4. CONCEPT
• In this method we use GSM, speed sensor, vibration
sensor, GPS, LCD and motor circuit.
• The GPS tracks the vehicle location and GSM is used
for sending messages.
• Here by counting the rotations per minute of the
wheel, the speed sensor estimates the speed of the
vehicle.
• Initially we set certain threshold speed level.

5.  If the vehicle speed is below the threshold level, the
sensor keeps on detecting the vehicle speed.
 If the vehicle speed is above the threshold level, the
message about over speed is send to the authorized
person through GSM.
 Authorized person reduces the speed of vehicle by
alerting the driver.
 If the speed is reduced suddenly or automatically then
there is a chance of occurring an accident.
 So, we here alert the driver to reduce the speed of his
vehicle.

6. EQUIPMENT REQUIRED
 GSM
 GPS
 Vibration sensor
 Speed sensor
 LCD
 Driver circuit
 Motor
 Power Supply
 Arduino( Micro controller).

8. Global System for Mobile- GSM
 GSM stands for Global System for Mobiles. This is a world-
wide standard for digital cellular telephony.
 In this we use GSM SIM900.
 1) Send SMS using Arduino and GSM Module – to a
specified mobile number inside the program.
 2) Receive SMS using Arduino and GSM Module – to the
SIM card loaded in the GSM Module.

9. GPS : Global Positioning System
 The Global Positioning System (GPS), also known
as Navstar GPS or simply Navstar.
 u-blox 6 based NEO-6 series of GPS modules, gives the
high performance. These receivers combine a high
level of integration capability with flexible
connectivity options in a small package.

10. •The speed the vehicle is estimated by using
the speed sensor.
•Vibration sensor gives the information if an
accident has occurred.
•The LCD display shows the required
messages.
•GPS tracks the vehicle location.
•GSM sends the messages.

11. Start
sensor detects speed
of vehicle
If speed >
limit
End
NO YES
Message is send to the
authorized person using
GSM
Authorized person
reduces the speed of
vehicle by alerting the
driver.

12. RESULTS

14. GPS TRACKING

15. GOOGLE EARTH

16. GPS INDICATING VEHICLE LOACTION

18. ADVANTAGES
 Limitation for vehicle speed.
 Accidents can be avoided.
 Highly secured.
 Cost effective.

19. SUMMARY AND CONCLUSION
 In this we sense the vehicle speed to estimate the driving
conditions in urban environment. By using GPS we track
the vehicle location and this data is send to the mobile
through GSM. The speed the vehicle is estimated by using
the speed sensor and vibration sensor gives the information
if an accident has occurred. The LCD display shows the
required messages. Initially the speed is fixed to certain
threshold level. If the speed exceeds the threshold level the
message is send to the authorized person about the over
speed. Then we alert the driver to reduce the speed. In our
system we control the vehicle speed and if an accident is
occurred our system automatically intimates it to
ambulance.

20. REFERENCES
 J. Levinson and S. Thrun, “Robust vehicle localization in urban environments using
probabilistic maps,” in Proc. IEEE Int. Conf. on Robotics and Automation, 2010.
 Schoepflin, “Dynamic camera calibration of roadside traffic management cameras
for vehicle speed estimation,” IEEE Trans. on Intelligent Transportation Systems,
vol. 4, no. 2, pp. 90–98, 2003.
 Y. Wang, J. Yang, H. Liu, Y. Chen et al., “Sensing vehicle dynamics for determining
driver phone use,” in Proc. of ACM MobiSys’13, 2013.
 D. Johnson and M. Trivedi, “Driving style recognition using a smart phone
as a sensor platform,” in Proc. of IEEE Int. Conf. on Intelligent Transportation
Systems, 2011.