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Published Date: 28-10-2023

Smartphone-based System For Improving Pedestrian Safety

This information outlines a smartphone-based system designed to improve pedestrian safety. With the growing number of pedestrians and increasing road accidents, it is essential to exploit technology to create a safer environment for individuals on foot. This system aims to use smartphone capabilities to provide real-time alerts, navigation assistance and communications that give priority to pedestrian safety.

The proposed system will integrate GPS technology to track pedestrian points and provide them with safe walking paths. By analysing traffic patterns and crisis points, the system can suggest alternative routes that minimize exposure to high-risk areas. In addition, the application provides for a real-time alert system that notifies pedestrians of neighboring vehicles, especially in scenarios where visibility is compromised, such as during low light conditions or tilt time.

In addition, the application will include a community feedback mechanism, which will allow users to signal unsafe conditions, such as badly marked sidewalks or sidewalks. This data can be aggregated and shared with local authorities to improve the necessary infrastructure. The system will also facilitate communication between pedestrians and drivers, allowing features such as pedestrian crossing reports that can be sent to approaching vehicles.

In conclusion, the smartphone-based system to improve pedestrian safety is a proactive approach to reducing accidents and improving overall pedestrian safety. By exploiting the power of mobile technology, we can create a safer environment for people sailing in urban landscapes.


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1. Title Page

  • Title Sources

2. Abstract

  • Summary of the Project
  • Key Findings
  • Keywords

3. Introduction

  • Background
  • Problem Statement
  • Research Questions
  • Objectives

4. Literature Review

  • Theoretical Framework
  • Review of Related Studies
  • Gaps in the Literature

5. Project Methodology

  • Research Design
  • Data Collection Methods
  • Data Analysis Techniques
  • Ethical Considerations

6. Project Results

  • Data Presentation
  • Statistical Analysis
  • Key Findings

7. Discussion

  • Interpretation of Results
  • Implications of Findings
  • Limitations

8. project Conclusion

  • Summary of Findings
  • Recommendations
  • Future Research Directions

9. References

  • References and Resources Links

10. Appendices

  • Final Source Code
  • Survey
  • Live environment/Real world Data Sets 
  • Additional Figures and Tables


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Project Delivery Kit


Project Source Code

Installation Guide

Data Sets and Samples

Usage Terms

Deployment Guide & More

Frequetly Asked Questions






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