High-efficiency Urban-traffic Management in Context-aware Computing and 5G Communication

Liu, J, Wan, J, Jia, DY et al. (4 more authors) (2017) High-efficiency Urban-traffic Management in Context-aware Computing and 5G Communication. IEEE Communications Magazine, 55 (1). 16598530. pp. 34-40. ISSN 0163-6804

Abstract

Metadata

Item Type: Article
Authors/Creators:
  • Liu, J
  • Wan, J
  • Jia, DY
  • Zeng, B
  • Li, D
  • Hsu, CH
  • Chen, H
Copyright, Publisher and Additional Information:

© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works.

Keywords: Servers, Computer architecture, Urban areas, 5G mobile communication, Real-time systems, Sensors, Road traffic, Traffic management, Mobile communication, Edge computing
Dates:
  • Published: 19 January 2017
  • Accepted: 4 September 2016
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds)
Funding Information:
Funder
Grant number
EU - European Union
713788
Depositing User: Symplectic Publications
Date Deposited: 19 Sep 2016 13:19
Last Modified: 11 Apr 2017 17:12
Published Version: https://doi.org/10.1109/MCOM.2017.1600371CM
Status: Published
Publisher: IEEE
Identification Number: 10.1109/MCOM.2017.1600371CM
Open Archives Initiative ID (OAI ID):

Export

Statistics