In this modern era, traffic congestion has become a major source of severe negative
economic and environmental impact for urban areas worldwide. One of the most efficient
ways to mitigate traffic congestion is through future traffic prediction. The research field of
traffic prediction has evolved greatly ever since its inception in the late 70s. Earlier studies
mainly use classical statistical models such as ARIMA and its variants. Recently,
researchers have started to focus on machine learning models because of their power and …

In this modern era, traffic congestion has become a major source of negative economic and
environmental impact for urban areas worldwide. One of the most efficient ways to mitigate
this issue is through traffic prediction. This research field has evolved greatly ever since its
inception in the late 70s. Recently, deep neural network models have gained popularity
thanks to its predictive power, but despite this, literature surveys of such methods are rare;
making it difficult to ascertain the progress of this research field. In this work, we address this …