Yizhi Liu1, 2, Xuesong Wang1, 2, Jianxun Liu1, 2, *, Zhuhua Liao1, 2, Yijiang Zhao1, 2, Jianjun Wang1, 2
Journal on Artificial Intelligence, Vol.2, No.3, pp. 137-148, 2020, DOI:10.32604/jai.2020.010620
Abstract Cruising route recommendation based on trajectory mining can improve taxidrivers' income and reduce energy consumption. However, existing methods mostly
recommend pick-up points for taxis only. Moreover, their performance is not good
enough since there lacks a good evaluation model for the pick-up points. Therefore, we
propose an entropy-based model for recommendation of taxis' cruising route. Firstly, we
select more positional attributes from historical pick-up points in order to obtain accurate
spatial-temporal features. Secondly, the information entropy of spatial-temporal features
is integrated in the evaluation model. Then it is applied for getting the next pick-up points
and further recommending a series… More >
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