In collaboration with Fujitsu Research of Europe, the FLAME GPU team undertook a collaborative development project to assist in applying FLAME GPU to the simulation of urban transportation systems in order to create a digital twin of the Isle of Wight. The focus of model development was on transportation micro-simulation and road networks (junctions). The developed model aims to replicate a subset of the individual and junction models from the open source Simulation of Urban MObility (SUMO) within FLAME GPU. Computational experiments have indicated that speedups over SUMO of ~68x are achievable on desktop GPUs (Intel Core i7-5930K CPU, an NVIDIA GeForce RTX 3090 (24 GiB) GPU). This is equivalent to simulating ~100x faster than real time with a maximum load of 95k vehicles.
More Information
- Smilovitskiy et al. “FLAME-GPU for Traffic Systems: A Scalable Agent-Based Simulation Framework.” Systems 2025, 13, 376. https://doi.org/10.3390/systems13050376 Research Paper