The Real-Time Dynamic Prediction of Optimal Taxi Cruising Area Based on Deep Learning
Sai Wang,
Jianjun Wang,
Chicheng Ma
et al.
Abstract:A real-time, effective, and dynamic taxi cruising recommendation strategy is essential to solving the problem of taxi cruising passenger difficulty and urban road traffic congestion. This study focuses on two aspects of the real-time accessible range and pick-up ratio (PR) and proposes a real-time dynamic identification method for taxi optimal cruise-seeking area. Firstly, based on the cumulative opportunity method, a univariate temporal convolutional network (UTCN) accessible range dynamic prediction model is… Show more
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