This paper proposes a novel data-centric framework for microscopic traffic flow simulation with intra and inter driver heterogeneity. We utilized a naturalistic driving corpus of 46 different drivers to learn and model the behavior divergence of Japanese drivers. First. ego-driver behavior signals are used to extract unique features of each driver with an auto-encoder. https://macorners.shop/product-category/led-wooden-base/