Enhancing traffic management through Digital Twin-BIM: A case study in Dili city Timor-Leste

Elfrido Elias Tita, Humbelina M. S. Viegas and Gakuho Watanabe ()
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Elfrido Elias Tita: Yamaguchi University, Department of Civil and Environmental Engineering
Humbelina M. S. Viegas: Universidade Nacional Timor Lorosa’e, Department of Civil Engineering
Gakuho Watanabe: Yamaguchi University, Department of Civil and Environmental Engineering

A chapter in Proceedings of the 2023 Brawijaya International Conference (BIC 2023), 2024, pp 36-46 from Springer

Abstract: Abstract Urban traffic issues have widespread economic and environmental implications. This is exemplified in Dili, Timor-Leste’s capital, where rapid urbanization has led to traffic-related economic losses and declining air quality. To tackle this, the integration of digital twin technologies, merging building information modeling and geographic information, is gaining attention. This strategy offers a foundation for evidence-based policy-making (EBPM) in transportation economics, transcending mere traffic predictions. This study applied digital twin and real traffic data to assess traffic patterns, congestion points, and CO2, NOx, and PM10 emissions in two busy Dili areas. Notably, it accurately identified peak congestion periods and locations, aligning with actual survey results. Surprisingly, motorcycles’ contribution to air pollutants couldn’t be dismissed compared to heavy-duty vehicles, attributed to their prominence and reduced mobility during congestion. This underscores the future necessity of dedicated motorcycle lanes.

Keywords: Traffic management; Digital Twin; BIM; EBPM; Environmental effects (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-525-6_5

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