https://www.selleckchem.com/pr....oducts/mg-101-alln.h
We evaluate our approach through a series of case studies involving a real-world dataset of Shenzhen taxi trips, and through interviews with domain experts. We observe that geographical scale variations have important impact on prediction performances, and interactive visual exploration of dynamically varying inputs and outputs benefit experts in the development of deep traffic prediction models.Visualization designs typically need to be evaluated with user studies, because their suitability for a particular task is hard to predict.
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