CO as big part of traffic emission is the cause of many chronic illness including heart disease. And carbon monoxide in urban mainly comes from traffic emission. Therefore, using real-time traffic data from Amap to establish an integrated model for carbon monoxide concentration distribution becomes very meaningful. In this paper, the integrated model is established by using the macro emission data and diffusion model on Amap traffic data. 117 sets of data obtained in the previous are used to validate the model, and the results are generalized to obtain the distribution of carbon monoxide in the target network area.

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