Evaluation of Map matching Algorithms for Multi Scale Databases

Anurag Verma

ISBN 10: 3847309633 / ISBN 13: 9783847309635

Published by LAP LAMBERT Academic Publishing Dez 2011, 2011

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 96 pp. Englisch. Seller Inventory # 9783847309635

Bibliographic Details

Title: Evaluation of Map matching Algorithms for ...

Publisher: LAP LAMBERT Academic Publishing Dez 2011

Publication Date: 2011

Binding: Taschenbuch

Condition: Neu

About this title

Synopsis:

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.

About the Author:

My domain is Geo-Spatial Information, urban planning, natural development and disaster management. I started my career in a research oriented company Karyon Consultancy and Solutions. I did a professional course in Geo-informatics from Holland and Post Graduation in Geography. Currently, I am working as a GIS consultant in a government organization