Preoccupo Consulo Lubricus (PCL)

posted Dec 21, 2010, 11:25 PM by Unknown user   [ updated Oct 13, 2011, 12:15 AM ]
Guide: Himanshu Dutt Sharma, Scientist, Government of India, Central Electronics Engineering Research Institute, Pilani.  

I developed
an intelligent system to predict the possibility of slipping in a dynamically changing environment. An accelerometer sensor was used to predict the possibility of skidding using physical-mechanics equations in the back end. This predicted decision was given to the driver alerting him before skidding and thus giving him more time to react to such a situation.


Four kind of situations were developed:

  • Skidding on Flat Roads
  • Skidding on Banked Roads
  • Toppling on Flat Roads, &
  • Toppling on Banked Roads
The final equations used are presented below: 


Equations to Prevent Skidding
 


Equations to Prevent Toppling

Now, after these equations were developed mathematical modeling was done to predict the deviation of values from normal values. Student-t distribution was used to calculate the average deviation. Since, 

Now, if 


tStop is time to stop, &
tSSRT is Time to respond to a stop signal

Then only an external source can stop the accident. Whereas within limits i.e. tSTOP < tSSRT, accidents can be prevented by alerting the driver itself. 


It is important, tSSRT is calculated using an experiment where a user is shown a page with a signal. If it is red then the user has to press left arrow on the computer & if the signal is green then the user has to press the right arrow on the computer. 


Time is calculated and plotted on a graph Vs. the Eye Blink Rate (EBR). (Please contact for more details). 


The EBR was calculated using the same technique as described in this project

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