Time-series AI models for traffic congestion prediction
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 t...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/158059 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| 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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