Dataset Explanation

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Problem to solve

Dataset Explanation

Data Preparation

EDA

Algorithm Used

Algorithm Comparison

Prediction

How does this help

04272023

Driver’s fault prediction

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INTRODUCTION

Car crash – Serious concerns?

Factors that lead to car crashes?

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Use Case

Predicting whether the driver at fault

when the crash occurred.

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How AI and ML are used

Predictive modeling

Autonomous Vehicles

Driver Assistance

System

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2

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Problem To Solve

Predicting whether the driver is at fault by

considering these factors –

ACRS Report Type

Collision Type

Weather

Surface Condition

Light

Driver Substance Abuse

Injury Severity

Speed Limit

Vehicle Damage Extent

Vehicle Body Type

Dataset Explanation

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The data is downloaded from data.gov:

https://catalog.data.gov/dataset/crash-reporting-drivers-data

The data set consists of 43 columns and 157841 rows.

Important Independent Variables:

‘ACRS Report Type’, ‘Collision Type’, ‘Weather’, ‘Surface

Condition’, ‘Light’, ‘Driver Substance Abuse’,

‘Injury Severity’, ‘Speed Limit’, ‘Vehicle Damage Extent’,

‘Vehicle Body Type’.

Target Variable: ‘Driver At Fault’

Data Preparation

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Exploratory Data Analysis

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Collision Type

ACRS Report Type

Exploratory Data Analysis

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Surface Condition

Weather

Exploratory Data Analysis

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Light

Driver Substance Abuse

Exploratory Data Analysis

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Injury Severity

Injury severity Caused by Vehicle body type

Exploratory Data Analysis

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Driver at Fault

EDA

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Correlation

Algorithm Used

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Comparison

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Model

Accuracy

Logistic Regression

57.62%

Logistic Regression with normalization

57.67%

Logistic Regression with tuning (GridsearchCV)

57.39%

Logistic Regression with Cross validation

57.20%

Predictions

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How it this helpful in real-time

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Rewrite the Use-case

Predicting whether the driver

at fault when the crash

occurred without any

discrimination and no

violation of driver’s personal

information.

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MEET OUR TEAM

Amulya Akinapuram – 11558530

Priyanka Panchaneni – 11441149

Navya Sri Nunety – 11514122

Sai Girish Yarabarla – 11616183

Vinay Kumar Gummadi – 11603209

Jenith Lakkakula – 11608313

Siva Naga Malleswara Jetti- 11626092

20XX

Presentation title

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References:

Crash Reporting – Drivers Data. (2023, April 21). Data.gov; data.montgomerycountymd.gov.

https://catalog.data.gov/dataset/crash-reporting-drivers-data

wicked. (2020, August 14). Tesla saved by autopilot – Other car and truck not so lucky.

Tesla saved by autopilot – Other car and truck not so lucky
by u/wwickedd in gifs

Avertissement de redirection. (2023). Google.com.

https://www.google.com/url?sa=i&url=https%3A%2F%2Fdepositphotos.com%2Fvector-images%2Ftraffic-accid

ent-cartoon.html&psig=AOvVaw3RwCMBG9XKq6ziplBBKpWw&ust=1682662650709000&source=images&cd=v

fe&ved=0CBIQjhxqFwoTCOCuxdu_yv4CFQAAAAAdAAAAABAE

Avertissement de redirection. (2023). Google.com.

https://www.google.com/url?sa=i&url=https%3A%2F%2Fjimglaserlaw.com%2Fproving-fault-in-an-accident-clai

m-in-massachusetts%2F&psig=AOvVaw3RwCMBG9XKq6ziplBBKpWw&ust=1682662650709000&source=image

s&cd=vfe&ved=0CBIQjhxqFwoTCOCuxdu_yv4CFQAAAAAdAAAAABAJ