Traffic prediction plays a vital role in the process of urban traffic management. Various traffic
prediction applications will include different traffic analysis parameters, such as traffic signal
control, navigation systems, incident detection, etc. Generally, traffic prediction is considered
as a data-intensive task and it includes challenges in capturing, pre-processing, integrating,
and analyzing the huge volume of spatial-temporal data. The performance of the traffic
prediction is mainly dependent on the right, reliable, and compatible data sources. In this …