Data Driven Dynamic Transport Management in Emerging Metropolis for Climate Change Mitigation

Development and implementation of spatiotemporal flow simulation of traffic and travelers

The project plans to conduct research and development focused on controlling the spatiotemporal flow of traffic and travelers in the Bangkok Metropolitan Area, Thailand, a representative emerging metropolis. More specifically, bearing in mind the implementation of dynamic urban transport management measures, the project plans to develop methodologies for calculating and monitoring GHG emission reductions and digital twin technologies for multidimensional evaluation of the social effects of the measures, with the aim of their social implementation.

Reducing CO₂ emissions by proposing appropriate urban transport management measures

The construction of a digital twin system that appropriately integrates various observation data and simulation models is expected to enable the quantitative and objective evaluation of the effectiveness of traffic management measures in reducing road traffic congestion and CO₂ emissions.