Mapping a hospital using openstreetmap and graphhopper: A navigation system

We present a mobile-based navigation system with the emphasis on the pedestrian navigation for Hospital Kuala Lumpur (henceforth, HKL) named as HKLNS. This practical research aimed to provide support and help for the people who come to the HKL. Despite having signages, layouts and other types of gui...

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Published in:Bulletin of Electrical Engineering and Informatics
Main Author: Samah K.A.F.A.; Ibrahim S.; Ghazali N.; Suffian M.; Mansor M.; Latif W.A.
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2020
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083066217&doi=10.11591%2feei.v9i2.2082&partnerID=40&md5=9a97be62112af436515299b6ba866978
id 2-s2.0-85083066217
spelling 2-s2.0-85083066217
Samah K.A.F.A.; Ibrahim S.; Ghazali N.; Suffian M.; Mansor M.; Latif W.A.
Mapping a hospital using openstreetmap and graphhopper: A navigation system
2020
Bulletin of Electrical Engineering and Informatics
9
2
10.11591/eei.v9i2.2082
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083066217&doi=10.11591%2feei.v9i2.2082&partnerID=40&md5=9a97be62112af436515299b6ba866978
We present a mobile-based navigation system with the emphasis on the pedestrian navigation for Hospital Kuala Lumpur (henceforth, HKL) named as HKLNS. This practical research aimed to provide support and help for the people who come to the HKL. Despite having signages, layouts and other types of guidance to help them navigate, they might not be sure their current location and the destination’s paths. By using the OpenStreetMap (OSM) and Graphhopper API as a solution, it managed to help people to navigate the surrounding of the HKL. The findings showed that users were able to know their current location and the system generated the shortest pedestrian paths to the desired location using both mappings. The functionality testing and experimental results surrounding HKL demonstrated the effectiveness of this approach. The HKLNS was reliable based on the functionality and validation testing conducted towards 5 respondents with 5 different case study, in which it manage to reduce more than 50% time taken with the t-test result of 0.00041 (p<0.05), indicated that the system was accepted. © 2020, Institute of Advanced Engineering and Science. All rights reserved.
Institute of Advanced Engineering and Science
20893191
English
Article
All Open Access; Bronze Open Access; Green Open Access
author Samah K.A.F.A.; Ibrahim S.; Ghazali N.; Suffian M.; Mansor M.; Latif W.A.
spellingShingle Samah K.A.F.A.; Ibrahim S.; Ghazali N.; Suffian M.; Mansor M.; Latif W.A.
Mapping a hospital using openstreetmap and graphhopper: A navigation system
author_facet Samah K.A.F.A.; Ibrahim S.; Ghazali N.; Suffian M.; Mansor M.; Latif W.A.
author_sort Samah K.A.F.A.; Ibrahim S.; Ghazali N.; Suffian M.; Mansor M.; Latif W.A.
title Mapping a hospital using openstreetmap and graphhopper: A navigation system
title_short Mapping a hospital using openstreetmap and graphhopper: A navigation system
title_full Mapping a hospital using openstreetmap and graphhopper: A navigation system
title_fullStr Mapping a hospital using openstreetmap and graphhopper: A navigation system
title_full_unstemmed Mapping a hospital using openstreetmap and graphhopper: A navigation system
title_sort Mapping a hospital using openstreetmap and graphhopper: A navigation system
publishDate 2020
container_title Bulletin of Electrical Engineering and Informatics
container_volume 9
container_issue 2
doi_str_mv 10.11591/eei.v9i2.2082
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083066217&doi=10.11591%2feei.v9i2.2082&partnerID=40&md5=9a97be62112af436515299b6ba866978
description We present a mobile-based navigation system with the emphasis on the pedestrian navigation for Hospital Kuala Lumpur (henceforth, HKL) named as HKLNS. This practical research aimed to provide support and help for the people who come to the HKL. Despite having signages, layouts and other types of guidance to help them navigate, they might not be sure their current location and the destination’s paths. By using the OpenStreetMap (OSM) and Graphhopper API as a solution, it managed to help people to navigate the surrounding of the HKL. The findings showed that users were able to know their current location and the system generated the shortest pedestrian paths to the desired location using both mappings. The functionality testing and experimental results surrounding HKL demonstrated the effectiveness of this approach. The HKLNS was reliable based on the functionality and validation testing conducted towards 5 respondents with 5 different case study, in which it manage to reduce more than 50% time taken with the t-test result of 0.00041 (p<0.05), indicated that the system was accepted. © 2020, Institute of Advanced Engineering and Science. All rights reserved.
publisher Institute of Advanced Engineering and Science
issn 20893191
language English
format Article
accesstype All Open Access; Bronze Open Access; Green Open Access
record_format scopus
collection Scopus
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