Implications of Spatiotemporal Data Aggregation on Short-Term Traffic Prediction Using Machine Learning Algorithms

<div>(a) Traffic volume in segment 23 on April 21, 2016, (Thursday) compared with the historical weekly average and (b) tweets from NZTA accessed from [<a href="/journals/jat/2020/7057519/#B57">57</a>] on April 21, 2016.</div>

Journal of Advanced Transportation

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Figure 4

Figure 4: Implications of Spatiotemporal Data Aggregation on Short-Term Traffic Prediction Using Machine Learning Algorithms 