  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.
