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has been cited by the following article:

• TITLE: Trace Interpolation Algorithm Based on Intersection Vehicle Movement Modeling

  AUTHORS: Jinwei Shen, Guangtao Xue

  KEYWORDS: Trace Interpolation, Intersection Vehicle Movement Modeling, Velocity Data Mining, Vehicle Sensor Network

  JOURNAL NAME: Wireless Sensor Network, Vol.2 No.11, November 19, 2010

  ABSTRACT: Real vehicle tracking data play an important role in the research of routing in vehicle sensor networks. Most of the vehicle tracking data, however, were collected periodically and could not meet the requirements of real-time by many applications. Most of the existing trace interpolation algorithms use uniform interpolation methods and have low accuracy problem. From our observation, intersection vehicle status is critical to the vehicle movement. In this paper, we proposed a novel trace interpolation algorithm. Our algorithm used intersection vehicle movement modeling (IVMM) and velocity data mining (VDM) to assist the interpolation process. The algorithm is evaluated with real vehicle GPS data. Results show that our algorithm has much higher accuracy than traditional trace interpolation algorithms.