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synopsis1 Paper

Words: 1007, Paragraphs: 47, Pages: 4

Paper type: Essay, Subject: Autonomous Cars

R V College of Engineering, Bengaluru-59

(Autonomous Institution Affiliated to VTU)

Department of Electronics and Communication Engineering

8th Semester

Synopsis for the Major Project

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2018-19

Title : Vehicle Speed Control and Accident Avoidance System using CAN Protocol

Name of the students

GAYATHRI S

BANASHREE MN USN:1RV16EC407

USN:1RV15EC030

Signature

Internship Carried out at Internal Guide Name K NETHRAVATHI External Guide Name Internal Guide Signature with date External Guide Signature with date Accepted/Rejected

Comments:

2018-2019

1.Introduction

The vehicles are important part in our life for transportation. In existing system the main drawbacks are glaring effect accidents due to opposite vehicle headlight illumination at night driving and accidents are occurred due to heavy speed and drunk and drive. Based on requirements of modern vehicle, in- vehicle Controller Area Network (CAN) architecture has been implemented. In order to reduce point to point wiring harness in vehicle automation, CAN is suggested as means for data communication within the vehicle environment. The benefits of CAN bus based network over traditional point to point schemes will offer increased speed flexibility and expandability for future technology insertions. The CAN bus was developed by BOSCH as a multi-master, message broadcast system that specifies a maximum signaling rate of 1 megabit per second (bps).

This system uses sensors to measure various parameters of the vehicle like obstacle detection, driver alcoholic status and road conditions in order to automatically control the speed of the vehicle as well as luminous intensity of opposite vehicle headlight to avoid accident.

2.Literature Survey

[1] This paper provides an intelligent system for two wheeler accident prevention and detection for human life safety. The prevention part involves, Smart Helmet, which automatically checks whether the person is wearing the helmet and has non- alcoholic breath while driving.

[2] The main design and aspects of Controller Area Network (CAN) based accident avoidance system is to avoid the accidents by using CAN protocol. This project defines a design of effective accident avoidance system that detects an automotive vehicle condition while travelling, with the help of ultrasonic sensors and this signal can be used to control the Engine Control Unit (ECU).

[3] Development of a realistic dynamic simulation of oncoming headlamp glare in a driving simulator LED brightness is adjusted to result in the level of the light that such headlights would cause problem in driver’s eyes, enabling the testing of glare effect on drivers of different ages and impact of various visions.

3.MotivationNowadays accidents occur due to mistakes done by driver. An intelligent system needs to be developed to overcome these mistakes. So this system is proposed where mistakes done by driver are eliminated. Most of the intelligent car systems have monitoring system only.

A collision avoidance system is a system of sensors that is placed within a car to warn its driver of any dangers that may lie ahead on the road. Some of the dangers that these sensors can pick up on include how close the car is to other cars surrounding it, how much its speed needs to be reduced while going around a curve, and how close the car is to going off the road. The system uses sensors that send and receive signals from things like other cars, obstacles in the road.

4. Objectives

To Detect the Obstacle within the specified range to control vehicle speed.

To design efficient accident avoidance system using CAN protocol.

To avoid the glaring effect accidents due to opposite vehicle headlight illumination at night driving.

To check the driver alcoholic status and provide proper accident preventives.

5. Methodology

The distance of the obstacle is detected using ultrasonic sensor, if the obstacle lies within the specified range speed of the vehicle is automatically controlled via CAN communication.

Luminance sensor is used to detect the light intensity of the headlight to avoid accidents due to glare effect during night driving.

Immobilize the car if alcohol content is detected using alcohol sensor.

Intimate the driver in these conditions by displaying on LCD and actuating the buzzer.

5.1 Block Diagram

Fig:5.1 Block Diagram of vehicle speed control and accident avoidance system using CAN protocol

Fig:5.2 Flow chart for vehicle speed control and accident avoidance system using CAN protocol

6. Hardware used

PIC24F Microcontroller

Ultrasonic sensor

Buzzer

16×2 LCD display

Power supply

Luminous intensity sensor

Alcoholic sensor

CAN controller and transceiver

LCD Driver

10.DC motor

7. Software tools used

1. Matlab and Simulink8. Budget estimate

Components Cost Quantity

PIC24F Microcontroller board 1200 2

Ultrasonic sensor 200 1

16×2 LCD Display 150 2

Luminous intensity sensor 180 1

Alcoholic sensor 150 1

CAN Transceiver 150 2

Buzzer 30 1

DC motor 150 2

Power supply 250 2

Total:4110 rupees REFERENCES

ADDIN Mendeley Bibliography CSL_BIBLIOGRAPHY [1]C. Bila, F. Sivrikaya, M. A. Khan, and S. Albayrak, “Vehicles of the Future: A Surveyof Research on Safety Issues,” IEEE Trans. Intell. Transp. Syst., vol. 18, no. 5, pp. 1046–1065, 2017.

[2]A. Aliyu, J. G. Kolo, O. O. Mikail, J. Agajo, B. Umar, and O. I. Aguagba, “An ultrasonic sensor distance induced automatic braking automobile collision avoidance system,” 2017 IEEE 3rd Int. Conf. Electro-Technology Natl. Dev. NIGERCON 2017, vol. 2018–Janua, pp. 570–576, 2018.

[3] Matthew Fullerton1,2,3 and Eli Peli1 , ” Development of a system to study the impact of

headlight glare in a driving simulator”, PROCEEDINGS of the Fifth International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design

412

[4]J. M. Kumar, R. Mahajan, D. Prabhu, and D. Ghose, “Cost effective road accident prevention system,” Proc. 2016 2nd Int. Conf. Contemp. Comput. Informatics, IC3I 2016, pp. 353–357, 2016.

[5]D. C. Liaw, C. Y. Yu, and K. C. Wu, “A CAN-based design for the control of electric vehicle,” Int. Conf. Control. Autom. Syst., no. Iccas, pp. 1233–1237, 2014.

[6]Y. Zhang, H. Li, J. Wu, J. Deng, and D. Luo, “A CAN-based protocol for reliability testing of embedded software,” Proc. 2010 2nd Int. Conf. Futur. Comput. Commun. ICFCC 2010, vol. 2, pp. 384–389, 2010.

[7]D. Selvathi, P. Pavithra, and T. Preethi, “Intelligent transportation system for accident prevention and detection,” Proc. 2017 Int. Conf. Intell. Comput. Control Syst. ICICCS 2017, vol. 2018–Janua, pp. 442–446, 2018.

[8]H. Ahn and D. Del Vecchio, “Safety Verification and Control for Collision Avoidance at Road Intersections,” Saf. Verif. Control Collis. Avoid. Road Intersect., vol. 63, no. 3, pp. 630–642, 2018.

[9]A.-P. W. A.-P. Wang, J.-C. C. J.-C. Chen, and P.-L. H. P.-L. Hsu, “Intelligent CAN-based automotive collision avoidance warning system,” IEEE Int. Conf. Networking, Sens. Control. 2004, vol. 1, pp. 146–151, 2004.

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