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 language | English |
|---|---|
| Pages (from-to) | 1975-1995 |
| Number of pages | 21 |
| Journal | Journal of Supercomputing |
| Volume | 71 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 2015 Jun 1 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Software
- Theoretical Computer Science
- Information Systems
- Hardware and Architecture
Cite this
}
Improving positioning accuracy for VANET in real city environments. / Tsai, Ming Fong; Wang, Po Ching; Shieh, Ce-Kuen; Hwang, Wen Shyang; Chilamkurti, Naveen; Rho, Seungmin; Lee, Yang Sun.
In: Journal of Supercomputing, Vol. 71, No. 6, 01.06.2015, p. 1975-1995.Research output: Contribution to journal › Article
TY - JOUR
T1 - Improving positioning accuracy for VANET in real city environments
AU - Tsai, Ming Fong
AU - Wang, Po Ching
AU - Shieh, Ce-Kuen
AU - Hwang, Wen Shyang
AU - Chilamkurti, Naveen
AU - Rho, Seungmin
AU - Lee, Yang Sun
PY - 2015/6/1
Y1 - 2015/6/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84929956994&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84929956994&partnerID=8YFLogxK
U2 - 10.1007/s11227-014-1215-9
DO - 10.1007/s11227-014-1215-9
M3 - Article
AN - SCOPUS:84929956994
VL - 71
SP - 1975
EP - 1995
JO - Journal of Supercomputing
JF - Journal of Supercomputing
SN - 0920-8542
IS - 6
ER -