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://www.ealisboa.com/super-find-2009-2014-Dodge-Ram-1500-4pc-Bolt-on-Rivet-Style-Spyder-Fender-Flares-hot-value/