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A Literature Survey Of Existing Map Matching Algorithm For Navigation Technology

Authors: Mr. R. Manikandan*1 & Dr.R.Latha2;

A Literature Survey Of Existing Map Matching Algorithm For Navigation Technology

Abstract

Map Matching Algorithm plays vital role in today navigation technology, especially in the Urban Area. This Paper deals with a feasibility study of Map Matching algorithm to implement various processes in the Urban Areas. The main objectives of this paper are to gather knowledge about recent trends in Navigation System using Map Matching Algorithm. Map Matching Algorithm is mainly used to control and monitor the vehicle in the Urban Areas which may leads avoid traffic, accidents and also reduce the time taken from one place to another place. The eight based processes of Map Matching algorithm are a) weight based b) Enhanced Based c) Enhanced, Weight Based d) Fuzzy Based e) Hidden Markov Based f) Activity of Edge Based g) Distributed Based and h) Offline Based. We mainly classified process of Map Matching algorithm as feasibility study, which is mainly implemented in the Urban Cities

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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