| Summary: | In recent years, Artificial Intelligence (AI) has gained much popularity in the real world due to its
capability to outperform the human mind. With the ever-evolving technologies, AI plays a vital role in
society. In fact, it has become a constant necessity in our daily lives and it is projected to continually grow
exponentially in the upcoming years. In Intelligent Transporation Systems (ITS), traffic prediction has
been a leading topic of interest amongst researchers in specialized fields. In this paper, we will explore the
art of deep learning and examine the feasibility of using Time-Series AI models for predicting future
traffic flow using historical data in large-scale roadway networks. The goal of this research is to achieve
higher traffic precision to minimize traffic congestion.
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