Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/104185
Title: A map matching method for GPS based real-time vehicle location
Authors: Jagadeesh, G.R.
Srikanthan, T.
Zhang, X.D.
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies
Issue Date: 2004
Source: Jagadeesh, G.R., Srikanthan, T., & Zhang, X.D. (2004). A Map Matching Method for GPS Based Real-Time Vehicle Location. Journal of Navigation, 57(3), 429-440.
Series/Report no.: Journal of navigation
Abstract: Accurate vehicle location is essential for various applications in the field of intelligent transportation systems (ITS). Existing vehicle location systems rely on multiple positioning sensors and powerful computing devices to execute complex map matching algorithms. There exists a strong need for exploring a solution for vehicle location that relies on a GPS receiver as the sole means of positioning and does not require complex computations. Towards this end, the error characteristics of the GPS signal were studied through the analysis of GPS data collected during test drives. Based on the inferences drawn and a simple fuzzy rule set, a novel yet simple map matching algorithm was developed. Due to the difficulties in testing the algorithm through on-road trials, a simulation environment that is capable of reproducing the field conditions in the laboratory was developed. Simulation results confirm that the proposed algorithm overcomes many of the inadequacies of the existing methods and is capable of achieving high accuracy with minimal computational requirements.
URI: https://hdl.handle.net/10356/104185
http://hdl.handle.net/10220/20358
ISSN: 0373-4633
DOI: 10.1017/S0373463304002905
Rights: © 2004 The Royal Institute of Navigation. This paper was published in Journal of Navigation and is made available as an electronic reprint (preprint) with permission of The Royal Institute of Navigation. The paper can be found at the following official DOI: [http://dx.doi.org.ezlibproxy1.ntu.edu.sg/10.1017/S0373463304002905].  One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

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