ISBN: 978-981-11-3671-9 DOI: 10.18178/wcse.2017.06.222
Enhanced Online Taxi Orders Prediction Based on User Behavior
Abstract— With the development of online taxi companies such as Uber and UCAR, it is not difficult to
connect passengers and taxis for hire anymore. Indeed, these companies are concerning about predicting
distribution of taxi requests and dispatching their cars properly nowadays. In this paper, the algorithm
addressed focuses on discovering user behaviors to enhance traditional prediction algorithm. Through the
experiment, the algorithm is testified and achieves a good result on real data.
Index Terms— classification, taxi order prediction, spatial data mining
Ningyuan Huang, Jiaxing Song, Weidong Liu
Department of Computer Science and Technology, Tsinghua University, CHINA
ISBN: 978-981-11-3671-9 DOI: 10.18178/wcse.2017.06.17Xsrc="http://www.wcse.org/uploadfile/2019/0823/20190823055609629.png" style="width: 120px; height: 68px;" />[Download]
Cite: Ningyuan Huang, Jiaxing Song, Weidong Liu, "Enhanced Online Taxi Orders Prediction Based on User Behavior," Proceedings of 2017 the 7th International Workshop on Computer Science and Engineering, pp. 1276-1282, Beijing, 25-27 June, 2017.