This document provides a review of using microscopic traffic models with artificial intelligence. It begins with an introduction to artificial intelligence and outlines several microscopic traffic models that can be applied to self-driving cars, including Gipps model and predictive models. Applications of microscopic models in artificial intelligence include using predictive models to forecast traffic information. Advantages include more accurate route predictions, while disadvantages include data protection and cost issues. Future research opportunities exist in enhancing predictive operations and using AI techniques to optimize routes. The conclusion recommends establishing standards for validating traffic models of connected autonomous vehicles.