Improving Traffic Safety Through Video Analysis in Jakarta, Indonesia
It addresses traffic safety challenges for Jakarta and potentially other smart cities, but is incremental as it applies existing data science methods to a new context.
This project developed a video analysis pipeline to transform raw traffic footage into databases for analyzing traffic patterns in Jakarta, aiming to improve traffic safety and urban planning.
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.