In the real world, some taxi drivers are more capable of finding new passengers and make more money than others. It is attractive to learn such service skills to earn more for low-performance taxi drivers. Thanks to the widely available large-scale taxi GPS trajectory data, service strategies of taxi drivers that are hidden in their trajectory data can be uncovered by data mining techniques. In this chapter, we investigate taxi service strategies from three perspectives, i.e., passenger-hunting, passenger-sending, and service-area preference. We build a feature matrix to link extracted taxi service strategies from GPS trajectory data to the resulted taxi driver’s revenue in fine granularity. We can inform which strategies are efficient or inefficient by evaluating the correlation values between service strategies and the resulted revenue. A positively higher correlation value implies a corresponding more efficient strategy. To demonstrate that the extracted taxi service strategies with our proposed approach well characterize the driving behavior and performance of taxi drivers, we build a regression model and predict the revenue of taxi drivers based on their strategies, achieving a prediction residual as less as 2.35 RMB/h.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Hunting or Waiting: Earning More by Understanding Taxi Service Strategies


    Contributors:
    Chen, Chao (author) / Zhang, Daqing (author) / Wang, Yasha (author) / Huang, Hongyu (author)


    Publication date :

    2021-04-02


    Size :

    24 pages




    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Understanding Taxi Service Strategies From Taxi GPS Traces

    Zhang, Daqing / Sun, Lin / Li, Bin et al. | IEEE | 2015



    Taxi-RS: Taxi-Hunting Recommendation System Based on Taxi GPS Data

    Xu, Xiujuan / Zhou, Jian Yu / Liu, Yu et al. | IEEE | 2015



    Earning more from less

    Taverna, Michael | Online Contents | 1995