A high efficient map-matching algorithm for the GPS data processing intended for the highways Online publication date: Fri, 25-Jan-2019
by Hongyu Wang; Haihua Han; Xiaoguang Wang; Ruochen Fang; Wenbo Mei
International Journal of High Performance Computing and Networking (IJHPCN), Vol. 13, No. 2, 2019
Abstract: The map-matching algorithm for the vehicle position errors correction on the digital maps is crucial in the majority of the transportation research projects based on the floating car data. This paper presents a high efficient map-matching algorithm intended for the analysis of the big data collected at the highway based on the topological characteristics of the highway road network. This algorithm has two main improvements: it uses the fuzzy estimation algorithm to reduce the redundant calculations in map-matching processing on the arterial links; and it introduces a new parameter for evaluation of the most suitable travelling path for vehicles on the highway road network. The experiment results show that the proposed map-matching algorithm improves the efficiency and assures the high accuracy of the highway GPS data processing at the same time.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of High Performance Computing and Networking (IJHPCN):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook