Improving positioning accuracy for VANET in real city environments

Ming Fong Tsai, Po Ching Wang, Ce Kuen Shieh, Wen Shyang Hwang, Naveen Chilamkurti, Seungmin Rho, Yang Sun Lee

Research output: Contribution to journalArticlepeer-review

23 Citations (Scopus)

Abstract

With advances in technology and the economy, people are more inclined to buy cars. However, as a result, people forfeit their lives and property through accidents due to traffic congestion and traffic chaos. To ensure safe driving, anti-collision warning applications have been widely discussed. Most vehicular safety applications use vehicular positioning and vehicular communication technologies to avoid car accidents. With Vehicular Ad Hoc Networks, it is common to use the global positioning system (GPS) as the vehicular positioning tool owing to its comprehensive development in vehicular navigation. However, there are factors that affect GPS positioning accuracy (e.g., multipath effect, atmospheric effect, etc.). To improve GPS vehicular positioning accuracy, we propose a cooperative positioning algorithm that can improve localization accuracy. We also demonstrate that our algorithm can work well in a real city environment.

Original languageEnglish
Pages (from-to)1975-1995
Number of pages21
JournalJournal of Supercomputing
Volume71
Issue number6
DOIs
Publication statusPublished - 2015 Jun 1

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Information Systems
  • Hardware and Architecture

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