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DeepGTT: Learning Travel Time Distributions with Deep Generative Model
This paper introduces a simple and intuitive deep generative model about the estimating travel time distribution based on trajectory and real-time traffic condition. The idea is intriguing. But, about the...
I have tested your code in the Didi of Chengdu dataset. However, the performance (MAE-6.12) is worse than DeepTTE(MAE-1.68). However, in your paper, you introduce your results better than DeepTTE....
Hello,As you mentioned in the paper,the whole dataset was collected by 13,000 taxis during 28 days in a provincial capital city in China, but you only give 5 days.I wish...
