A Trajectory Prediction Method for Location-Based Services

  • Huan HuoEmail author
  • Shang-ye Chen
  • Biao Xu
  • Liang Liu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9461)


Most existing location prediction techniques for moving objects on road network are mainly short-term prediction methods. In order to accurately predict the long-term trajectory, this paper first proposes a hierarchical road network model, to reduce the intersection vertexes of road network, which not only avoids unnecessary data storage and reduces complexity, but also improves the efficiency of the trajectory prediction algorithm. Based on this model, this paper proposes a detection backtracking algorithm, which deliberately selects the highest probability road fragment to improve the accuracy and efficiency of the prediction. Experiments show that this method is more efficient than other existing prediction methods.



This work is supported by National Natural Science Foundation of China (61003031, 61202376), Shanghai Engineering Research Center Project (GCZX14014), Shanghai Key Science and Technology Project in IT(14511107902), Shanghai Leading Academic Discipline Project(XTKX2012) and Hujiang Research Center Special Foundation(C14001)


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.School of Optical-Electrical and Computer EngineeringUniversity of Shanghai for Science and TechnologyShanghaiChina
  2. 2.School of Information and TechnologyNorthwest UniversityXi’anChina

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