Citiesreview 16: AutoOD & Agent Based Urban Mobility Modelling Jakarta

Citiesreview 16: AutoOD Analysis and Agent-Based Urban Mobility Modeling for the Jakarta Metropolitan Area explores how Origin–Destination (OD) data can be leveraged to better understand urban mobility patterns and support evidence-based transportation planning. As travel demand continues to grow across the Jakarta Metropolitan Area, conventional travel surveys often face limitations in cost, coverage, and timeliness. The study introduces AutoOD, an automated OD estimation approach integrated with agent-based urban mobility modeling to simulate commuter movements, evaluate travel behavior, and provide a more scalable framework for analyzing metropolitan transportation dynamics.

Authored by Dr. Bunga Ludmila R., S.T., M.M., Novi Yanti, S.PWK, and Dr. (Cand). Firman Afrianto, S.T., M.T., IAP, the article discusses the potential of combining automated OD generation with agent-based simulation to produce more detailed and dynamic representations of travel patterns. By addressing the limitations of traditional survey-based methods, this approach offers valuable insights for infrastructure planning, traffic management, and sustainable urban mobility policies, enabling planners to make more informed decisions in responding to the increasing complexity of metropolitan transportation systems.