# Improving Traffic Safety Through Video Analysis in Jakarta, Indonesia

## TL;DR

This paper describes a collaborative effort to develop a video analysis pipeline that transforms traffic footage into actionable data, aiming to enhance traffic safety and urban planning in Jakarta and potentially other smart cities.

## Contribution

Introduction of a novel video analysis pipeline that converts raw traffic videos into structured data for traffic safety analysis in Jakarta.

## Key findings

- Pipeline successfully converts traffic videos into analyzable data
- Insights into human behavior and infrastructure impact traffic safety
- Potential for broader application in smart city initiatives

## Abstract

This project presents the results of a partnership between the Data Science for Social Good fellowship, Jakarta Smart City and Pulse Lab Jakarta to create a video analysis pipeline for the purpose of improving traffic safety in Jakarta. The pipeline transforms raw traffic video footage into databases that are ready to be used for traffic analysis. By analyzing these patterns, the city of Jakarta will better understand how human behavior and built infrastructure contribute to traffic challenges and safety risks. The results of this work should also be broadly applicable to smart city initiatives around the globe as they improve urban planning and sustainability through data science approaches.