Proximity, topology and accuracy are three most important and well
known words in the field of GIS. Cartographers and developers face
maximum challenges dealing with these topics in the area of Spatial
Data Infrastructure for Road Navigation (Map Matching Algorithms).
The evaluation of different Map Matching algorithms to improve the
spatial data quality of spatial databases helps in understanding,
proximity, topology and accuracy in a better way. This study
analysis different approaches of map matching algorithms and
presents a definitive evaluation on their performance. From the
scratch of development of algorithms to the end of their definitive
evaluation under different spatial conditions, this research faced
many challenges and now attempts to answer the questions regarding
automatic map matching. Though various Automatic Map Matching
Algorithms have been developed in recent years, yet Map Matching of
two different scale data sets through a manual cartographic
visualization is still considered the best. Therefore, the
algorithms developed in this study were then validated by the
matching results produced by an experienced cartographer.
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