Enhancing Indonesia’s Transportation Infrastructure Planning Through Bim and Digital Twins
Keywords:
Digital Construction, Building Information Modeling (BIM), Intelligent Transportation System (ITS), Collaboration, Resilience, Sustainability, Adaptive Decision-MakingAbstract
This research paper systematically examines the integration of Building Information Modeling (BIM) and Digital Twins within the realm of Intelligent Transportation Systems (ITS). The paper underscores the increasing importance of ITS in contemporary urban development, particularly in Southeast Asia, with a focus on Indonesia. Emphasizing the need for sophisticated methodologies such as BIM
and Digital Twins to address transportation challenges and enhance infrastructure planning, the study navigates through the role of BIM in
diverse facets of transportation infrastructure planning, backed by case studies on Indonesia's New Capital City Road and Bridge Infrastructure. The subsequent exploration of Digital Twins elucidates their conceptual framework and applications in real-time monitoring, control, and decision support within transportation contexts, illustrated through 3case studies on Indonesia's Road and Bridge Infrastructure. The paper meticulously dissects the synergies between BIM and Digital Twins, addressing integration challenges and delineating the multifaceted benefits arising from their collaborative approach, encompassing enhanced visualization, real-time monitoring, predictive maintenance, cognitive functions, and data-driven decision-making. The integration's implications for sustainability, resilience, and real-time
decision support for adaptive traffic management are scrutinized. Shifting towards policy implications, the paper advocates for ethical
considerations, emphasizing investments in training programs, standardization efforts, and collaborative initiatives to facilitate the ethical
adoption of BIM and Digital Twins. It stresses the significance of cross-disciplinary collaborations, ethical policy recommendations, continuous
research and development, and education programs to foster an ethical and supportive environment. In conclusion, the paper summarizes its main findings, ethical considerations, and future research directions, encapsulating a comprehensive exploration of ethical considerations in the integration of BIM and Digital Twins within the context of intelligent transportation systems, providing ethical guidelines and a roadmap for researchers and practitioners committed to ethical advancements in this domain. The publication adheres to the ethical standards and guidelines set forth by academic and research communities.