Road Accident Analysis for Community Awareness

Team

Table of Contents

  1. Introduction
  2. Problem
  3. Motivations
  4. Objectives
  5. Requirements
  6. Solution
  7. Solution Architecture
  8. High Level System Organization
  9. Data Flow of the System
  10. Technologies used
  11. Use Case diagram
  12. Machine Learning Model
  13. Process
  14. Workplan
  15. Future work
  16. Links

Introduction

Road traffic injuries are a leading cause of death and disability. In low and middle income countries, vulnerable road users are commonly involved in crashes with severe injuries. Road traffic injuries are a major public health problem globally. About 1.2 million people are killed and more than 50 million are injured due to road traffic crashes annually.More than 90% of these deaths and injuries occur in low and middle income countries (LMIC) due to rapid motorization, lack of road safety culture, poor road conditions, and lack of education on road safety. Our aim is to reduce road accidents using machine learning techniques.

Problem

The prevailing strategies are not sufficient enough to reduce the frequency and severity of road accidents.

Motivations

Objectives

Requirements

Functional Requirements

Non-Functional Requirements

Solution

An online system to provide more accurate information on road accidents (both analysis and predictions). We are going to build a real time web application which can be used by the public without logging to the system.

Solution Architecture

High Level System Organization

Data Flow of the System

Technologies used

Use Case diagram

Machine Learning Model

Workflow of the Machine Learning Process

Process

Workplan

Future work

Robust Data Handling

Realtime Modeling

Current Progress