Intelligent Agent for Driving Safety

INTELLIGENT AGENT
ARTIFICIAL INTELLIGENCE
5/31/2019

Abstract
Driver’s basic perceptive procedure has long been documented because of the primary
conducive factors in guests’ injuries. It takes a glance at offerings singular device that applies
the convolution neural community (CNN) to automatically analyse and predict predefined
riding postures. The essential plan is to help the drivers to drive properly. In distinction to
older techniques, CNN will habitually know the way to differentiate functions directly from
raw photos. Within the authors' research, a CNN version becomes 1st retrained by the manner
of associate unattended characteristic gaining data of method known as distributed filtering
and later fine-tuned with a category. The approach becomes incontestable usage of the
Southeast University mistreatment posture info set that comprised videos covering four riding
postures, which are normal riding, responding to a cellular Smartphone decision, smoking
and eating. Compared to alternative noted processes with special photograph descriptors and
kind methods, the author’s scheme achieves nice performance with associate usual accuracy
of 99.78%. To gauge the generalization performance and effectiveness in additional wise
conditions, the approach equally examines the employment of alternative specifically
designed information units that recall of terrible illuminations and distinctive road conditions,
reaching associate traditional accuracy of ninety-nine, three and ninety-five, seventy-seven
percent, sequentially.

Contents
INTRODUCTION.....................................................................................................................................3
Driving...............................................................................................................................................3
Cell Phone Distraction to Driving.......................................................................................................3
Statistical Evidences...........................................................................................................................3
Driving Laws.......................................................................................................................................4
DESIGN..................................................................................................................................................4
Prototype Design...............................................................................................................................4
Intelligent Agent................................................................................................................................5
Steps..............................................................................................................................................6
Pseudocode Algorithm......................................................................................................................6
Code Implementation Using the CNN Algorithm...............................................................................7
CNN Algorithm...............................................................................................................................7
Purpose and Functionality of the Code..............................................................................................7
Components (Environment, Perceptron’s Actions, Functions, Attributes)........................................7
Agent Type.....................................................................................................................................8
Percepts.........................................................................................................................................8
Actions...........................................................................................................................................8
Goals..............................................................................................................................................8
Environment..................................................................................................................................8
Search Based Technique Used...........................................................................................................8
Decision Tree.....................................................................................................................................9
CONCLUSION.........................................................................................................................................9
REFERENCES........................................................................................................................................10
INTRODUCTION
Life is precious and invaluable than anything in the universe. Having said this the risks that
threaten sustainability of life must be minimized to the best possible extent, by maintaining
the lifestyle and manners accordingly.
Driving
Driving is movement of a motor vehicle, such as buses, trucks, cars and motorcycles, while
controlling the operation. The aspect of driving, in relation with safety of life should be
explored and best driving methods and habits must be determined, in order to minimize
accidents.

Accidents are possible with the following safety issues, while driving.
1. Texting and talking over phone, while driving
2. Sleep deprived driving
3. Speeding
4. Driving impaired by drugs directly or with influence
5. Reckless driving
6. Distracted driving
7. Street racing
All the above 7 factors have negative influence on driveability, which is the smooth delivery
of power.
Cell Phone Distraction to Driving
At any instance of time, there are about 660,000 drivers attempt using phones in hand, while
driving. Eventually, distraction rates for driving by cell phones are huge and alarmingly high.
Statistical Evidences
 According to the reports of National Safety Council usage of cell, while driving result
more than 1.5 million crashes, every year.
 Texting while driving cause injuries up to 390,000, from accidents, every year.
 1 car accident out of 4 is caused by simultaneous driving and texting, in the United
States.
 Cause of accident, while texting and driving is 6 times more likely, compared driving
while drunk.
 The driver’s attention is taken away for 5 seconds, while answering a text and this
time is enough to travel the football field length, while travelling at the speed of 55
mph.
 Compared to all other tasks related to cell phone, the most dangerous activity is
texting, by far.
 74% of drivers wish and support ban over usage of hand-held cell phone.
 94% of drivers wish and support ban over texting in the cell phone, while driving.
Driving Laws
To minimize the accidents, driving laws have been are defined and imposed, in almost all the
countries. Every driver, who comes on the road, is subject to the respective laws of the
jurisdiction, where the driver is driving.
And Australia government has imposed the law related to driving and using the mobile phone
and stated as follows.
“A driver of a vehicle can only touch a mobile phone to receive and terminate a phone call if
the phone is secured in a mounting affixed to the vehicle. If the phone is not secured in a
mounting, it can only be used to receive or terminate a phone call without touching it (e.g.
using voice activation, a Bluetooth hands-free car kit, ear piece or headset)”.
The law also indicates that...