Descriptive Analysis on Accident Data for Autonomous Vehicle Safety Planning

This project is designed for learners to understand different strategies of Data management & visualization functions to enhance public safety.

Car Accident close up
  • 1 bar graph
    Difficulty: Beginner

    No prior knowledge or experience with data required.

  • Asset 1
    Duration: Approximately 3 hours

Case Overview

  • Descriptive analysis is a unique way of using data to understand it in a better manner.
  • Road accidents is a major issue faced by millions of people all over the world. This raises the need for an overall road safety system that can be implemented by automobile companies.
  • To devise a better road safety system, companies need to understand the various factors influencing such incidents and then create a safer, well rounded and a smart driving system.
  • Learn how EDA can be used to analyze major factors affecting vehicle collision along with visualizing the collateral damage involved.

What’s included


Lifetime Access

Access this project for life once completed


Flexible Scheduling

Start learning online immediately, at your own pace


Desktop Only

We recommend completing this project on a desktop

Skills You Will Learn

Data Management

Data Visualization

Business Analysis

Machine Learning

Feature Engineering

Associated Learning Tracks

Case Context

  • Global data shows that millions of people die because of road accidents. This accounts for an urgent need for a road safety system that can be devised by automobile companies to prevent such losses.
  • Automated intelligent transportation is very important because it is smart, safe and more than capable of handling driving functions.
  • It is also essential to analyze vehicle and collateral damage so that companies can determine major factors that influence them.

  • Exploratory data analysis was performed to summarize the data and its main characteristics.
  • Monthly and weekly vehicles collisions and collateral damages were also plotted graphically using data visualization techniques.
  • A summary about injured and deceased people in road accidents was also provided for better understanding of accident susceptibilities.

  • This analysis can help in preventing injuries, deaths and collateral damage caused due to road accidents.
  • It can also benefit companies that are working on self-driving cars and technologies for AI-programmed vehicles to understand the on-road challenges.
  • The analysis can also be used by government officials to devise a better security regime for the nation to avoid unnecessary accidents.

How it Works

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Head Data and Analytics at CitiBank India

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Planning & Analytics @ Brooks Brothers

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Manager – Applications Development

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Student At Ohio Wesleyan University
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