In this paper, we aim here at integrating disparate sources of information, particularly the deep neural network. The Deep Neural Network structure can intelligently track the traffic conditions in order to fulfil this task by using open data sources, whilst using sensors run by end users to provide helpful resources. We also recommended a multi-faceted architecture which permits the coexistence of different data collection methods. We have constructed a generic data structure in a relation database that gives heterogeneous data a specific interpretability. In order to make full use of the IoT potential for customers to adapt to their behaviour, data can also be offered to several suppliers. Any adjustment in our system or structures depending on the same idea would therefore encourage co-operation and convergence. It should be reminded that confidential information is generated by some users and not to be shared.