{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/improving-traffic-safety-through-video","title":"Improving Traffic Safety Through Video Analysis in Jakarta, Indonesia","arxiv_id":"1812.01106","date":"2018-11-30","proceeding":null,"authors":["João Caldeira","Alex Fout","Aniket Kesari","Raesetje Sefala","Joseph Walsh","Katy Dupre","Muhammad Rizal Khaefi","Setiaji","George Hodge","Zakiya Aryana Pramestri","Muhammad Adib Imtiyazi"],"abstract":"This project presents the results of a partnership between the Data Science\nfor Social Good fellowship, Jakarta Smart City and Pulse Lab Jakarta to create\na video analysis pipeline for the purpose of improving traffic safety in\nJakarta. The pipeline transforms raw traffic video footage into databases that\nare ready to be used for traffic analysis. By analyzing these patterns, the\ncity of Jakarta will better understand how human behavior and built\ninfrastructure contribute to traffic challenges and safety risks. The results\nof this work should also be broadly applicable to smart city initiatives around\nthe globe as they improve urban planning and sustainability through data\nscience approaches.","url_abs":"http://arxiv.org/abs/1812.01106v1","url_pdf":"http://arxiv.org/pdf/1812.01106v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"improving-traffic-safety-through-video","repo_url":"https://github.com/dssg/jakarta_smart_city_traffic_safety_public","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}