Where to find my next passenger

  • Yuan J
  • Zheng Y
  • Zhang L
 et al. 
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We present a recommender for taxi drivers and people ex- pecting to take a taxi, using the knowledge of 1) passen- gers’ mobility patterns and 2) taxi drivers’ pick-up behav- iors learned from the GPS trajectories of taxicabs. First, this recommender provides taxi drivers with some locations and the routes to these locations, towards which they are more likely to pick up passengers quickly (during the routes or at these locations) and maximize the profit. Second, it rec- ommends people with some locations (within a walking dis- tance) where they can easily find vacant taxis. In our method, we learn the above knowledge (represented by probabilities) from GPS trajectories of taxis. Then, we feed the knowledge into a probabilistic model which estimates the profit of the candidate locations for a particular driver based on where and when the driver requests for the recommendation. We validate our recommender using historical trajectories gen- erated by over 12,000 taxis during 110 days. Author Keywords Taxicab, recommender, parking place ACM Classification Keywords H.2.8 Database Management: data mining, sp

Author-supplied keywords

  • Taxicab
  • parking place
  • recommender

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  • Jing Yuan

  • Yu Zheng

  • Liuhang Zhang

  • XIng Xie

  • Guangzhong Sun

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