Trace Interpolation Algorithm Based on Intersection Vehicle Movement Modeling

HTML  Download Download as PDF (Size: 236KB)  PP. 823-827  
DOI: 10.4236/wsn.2010.211099    6,633 Downloads   10,589 Views  Citations

Affiliation(s)

.

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.

Share and Cite:

J. Shen and G. Xue, "Trace Interpolation Algorithm Based on Intersection Vehicle Movement Modeling," Wireless Sensor Network, Vol. 2 No. 11, 2010, pp. 823-827. doi: 10.4236/wsn.2010.211099.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.