SMTP: An Optimized Storage Method for Vehicle Trajectory Data Exploiting Trajectory Patterns

Wang, H, Zhang, M, Yang, R et al. (4 more authors) (2016) SMTP: An Optimized Storage Method for Vehicle Trajectory Data Exploiting Trajectory Patterns. In: 2016 IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS). 2016 IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS), 12-14 Dec 2016, Sydney, NSW, Australia. IEEE , pp. 773-780. ISBN 978-1-5090-4298-2

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Copyright, Publisher and Additional Information: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: IoV , Trajectory Patterns, Trajectory Pattern Mining, Vehicle Trajectories
Dates:
  • Accepted: 15 October 2016
  • Published (online): 26 January 2017
  • Published: December 2016
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 22 Oct 2020 14:28
Last Modified: 25 Jun 2023 22:28
Status: Published
Publisher: IEEE
Identification Number: https://doi.org/10.1109/hpcc-smartcity-dss.2016.0112

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