本次比赛可借鉴的比赛有:
- NYC taxi:因为数据开源 NYC Open Data ,所以网上有大量的研究。
- ECML/PKDD 15: Taxi Trajectory Prediction KDD支持的在kaggle社区的比赛。 381 teams 冠军采访 https://link.jianshu.com?t=https://www.kaggle.com/c/pkdd-15-predict-taxi-service-trajectory-i https://link.jianshu.com?t=https://www.kaggle.com/c/pkdd-15-predict-taxi-service-trajectory-i https://link.jianshu.com?t=https://www.kaggle.com/c/pkdd-15-predict-taxi-service-trajectory-i https://link.jianshu.com?t=https://www.kaggle.com/c/pkdd-15-predict-taxi-service-trajectory-i https://link.jianshu.com?t=https://www.kaggle.com/c/pkdd-15-predict-taxi-service-trajectory-i
- ECML/PKDD 15: Taxi Trip Time Prediction (II) 345 teams https://link.jianshu.com?t=https://www.kaggle.com/c/pkdd-15-taxi-trip-time-prediction-ii https://link.jianshu.com?t=https://www.kaggle.com/c/pkdd-15-taxi-trip-time-prediction-ii https://link.jianshu.com?t=https://www.kaggle.com/c/pkdd-15-taxi-trip-time-prediction-ii https://link.jianshu.com?t=https://www.kaggle.com/c/pkdd-15-taxi-trip-time-prediction-ii https://link.jianshu.com?t=https://www.kaggle.com/c/pkdd-15-taxi-trip-time-prediction-ii 以上具体的可以查看参赛队伍在github上公开的代码或者文档进行学习
- 微软研究院 xing xie 、 yu zheng
的关于Taxi Trajectories诸多论文
或者专著
Computing with Spatial Trajectories