Abstract

"Take photos to make money" APP is a self-service crowdsourcing platform relying on mobile Internet, which provides various business inspection and information collection for enterprises. An excellent crowdsourcing platform needs to meet a lot of conditions, and whether the allocation of tasks and pricing is reasonable is the key. In this paper, we set up the task allocation and pricing model based on UTM projection principle, urban residents travel speed weighting method, k-means clustering, ant colony algorithm and comprehensive distance value theory. Then we use the data of “China Undergraduate Mathematical Contest in Modeling” in 2017 to test the model, which proves the robustness of the model in practical application.

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