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  Four Wheel Accident Prevention and Alert System  
  Authors : Samrudhi Bahatkar; Shital Patil; Priya Nagose; Mrs.Nilima Jichkar
  Cite as:

 

The entire paper describes different methods to improve driver safety by drunken drive alert, driver sleepiness alert and high beam alert. The number of vehicles on the roads is growing day by day and it’s now very important to integrate extra safety features into the vehicle. The paper mainly focuses on the intelligent systems and sensors that will become even more prevalent in the coming years. This will achieve through In-vehicle sensor systems that, will aware drivers from abnormal conditions. Developing driver assistance systems will help reduce accidents injuries, death and property harm. These systems help drivers make decisions and operate vehicles more effectively.

 

Published In : IJCSN Journal Volume 3, Issue 2

Date of Publication : 01 April 2014

Pages : 01 - 05

Figures : 05

Tables : --

Publication Link : IJCSN-2014/3-2/Four-Wheel-Accident-Prevention-and-Alert-System

 

 

 

Samrudhi Bahatkar : Computer Technology, Yeshwantrao Chavan College of Engineering, Nagpur, Maharashtra, India

Shital Patil : Computer Technology, Yeshwantrao Chavan College of Engineering, Nagpur, Maharashtra, India

Priya Nagose : Computer Technology, Yeshwantrao Chavan College of Engineering, Nagpur, Maharashtra, India

Mrs.Nilima Jichkar : Computer Technology, Yeshwantrao Chavan College of Engineering, Nagpur, Maharashtra, India

 

 

 

 

 

 

 

Sensor

Microcontroller

High Beam Light

There are many planned working system on the driver safety. Here we are giving certain names and their own work concerning uncovering and avoidance of urgent situation: Mercedes-Benz: Attention Assist In 2009, Mercedes- Benz unveiled a system called notice Assist which monitors the driver's exhaustion level and sleepiness based on his/her driving inputs. It issues a visual and capable of being heard alarm to alert the driver if he or she is too drowsy to continue driving safely. Driver Alert Control: The system monitors the car's actions and assesses whether the vehicle is being driven in a controlled or uncontrolled way. If the system detects a high risk of the driver being drowsy, the driver is alerted via an buzzer signal. Also, a text message appears in the car's information display, alerting him or her with a coffee cup symbol to take a break. The starting-point is five bars. The less consistent the driving, the fewer bars remain. Mercedes-Benz accident researchers caution against lessening asleep briefly whilst driving. Drivers who do not take regular breaks when driving long distances run a high risk of becoming drowsy. This is why Mercedes-Benz has developed the innovative ATTENTION ASSIST system, which can notice when drivers start to become snoozing and punctual them to take a break before it's too late. Scientific studies end that around 25 percent of all ruthless motorway accidents are down to driver sleepiness, meaning that sleepiness causes more road accidents than drink-driving. The danger of falling asleep for a moment is at its maximum on long-distance journeys in the dark or in static conditions because this is when drivers are most likely to undergo a fall in concentration. The pure dullness further heightens the risk of falling asleep at the wheel. Studies show that, after just four hours of nonstop driving, drivers' reaction times can be up to 50 percent slower. So the risk of an accident doubles during this time.

 

 

 

 

 

 

 

 

 

[1] A.S.M Asaduzzaman, Mohammad Mahmudul Islam, Shuva Paul, Md Farhat Alam, Md Mashuker Rahman ,“Automatic High Beam Controller for Vehicles”, International Journal of Scientific & Engineering Research Volume 4, Issue3, March 2013.

[2] Chenyang Xu, Xiangyu Chen, Yixiao Nie,” Driver Sleep Detection & Alarm System”, Sep. 2013.

[3] Garg R., Dept. of Electronics & Communication., VITUniv., Vellore, India, Gupta, V., Agrawal, V, “A Drowsy Driver Detection & Security System”, Ultra- Modern Telecommunications & Workshops, 2009.

[4] J.Vijay, B.Saritha, B.Priyadharshini, S.Deepeka, R.Laxmi, “Drunken Drive Protection System”, International Journal of Scientific & Engineering Research Volume 2, Issue 12, December-2011

[5] Yen-Lin Chen, Yuan-Hsin Chen ; Chao-Jung Chen ; Bing-Fei Wu, “Nighttime Vehicle Detection for Driver Assistance and Autonomous Vehicles”.