� �BY: MAHRUKH FATIMA�COHORT: 5�COURSE: DATA ANALYTICS�SUPERVISED BY: SIR MUHAMMAD HAMZA
SOFTWARE USED: PYTHON
�
INSTITUTE OF EMERGING CAREERS
CAPSTONE PROJECT-2 �
Road Traffic Accidents Dataset�
ABOUT THE DATASET�
Dataset Source:
(https://www.kaggle.com/datasets/saurabhshahane/road-traffic-accidents)
Information We Have:
About accidents:�Days, weather conditions, surface conditions, lightning;
About Drivers:
Age, gender, education, experience of driver;
About Vehicles:
Years of service, etc.
EXPLORATORY DATA �ANALYSIS
We observe that the largest number of accidents happen on a dry road surface followed by wet surface (due to rain). Since this pattern seems illogical, we must have a look at the weather conditions of the city.
Most accidents occurred during normal weather conditions followed by rainy weather. This must be because the city undergoes 8 months of non-rainy days which is 2-3rd of the year. Hence, it is now clearly evident why the number of accidents during dry days is greater. But reason is yet to unfold...
There seem to be various positions a vehicle might be moving through while involving into a collision. Amongst all, the straight going vehicles have the highest ratio followed by others which are comparatively very insignificant. Reason’s might include over-speeding, signal breaking, use of phone, inexperienced driver, etc. We need to investigate the most common reasons yet.
Among other ways, top 3 common ways of accidents include inter-vehicle collision, followed by collision with roadside objects, and lastly with pedestrians.
Sources tell: �2 cars to 1,000 people - one of the lowest rates of car ownership in the world.
Reasons are clearly indicating why the straight going cars undergo most of the accidents. ‘No distancing’ being the prime cause followed by change of lanes and careless driving, among others.
The reason for this could be:
1) Males drive while going to work and mostly females remain at home/housewives.
2) There is larger population of males in the city than females.
3) Males are poorer driver than females.
While we observe a large number of accidents happening during weekdays, (which could be due to workplace rush or school), the greatest number occur on Friday. One reason might be people rushing to home for family gatherings, parties, outings schdeuled for a weekend.
Junior high school involves the most in road accidents due to their being inexperienced, and unlearnt techniques or they’re not even licensed.
We see a normal distribution for the driver’s experience data who has undergone accidents. Until 10 years, we see that the more the Driver’s experience increases, the more number of accidents occur. This might be because more people from age-group 5-10yr drive on roads, while the least no. of people with no license seem to drive.
Employees drive more carelessly since it is not ’their car’ while the car owners take more precautions into consideration.
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