Enhancement Accuracy of the Spatial Map Matching Algorithm using Combine Test and Candidate Points in Mobile Application

Erika Vernanda, Haniah Mahmudah, Tri Santoso, Okkie Puspitorini, Nur Siswandari, Ari Wijayanti

2021

Abstract

GPS often has errors in determining the position, causing the path shown to deviate from the proper route. Can resolve the problems by using the map matching process. Map-matching is matching the GPS trajectory between the GPS trajectory and the actual trajectory. The algorithm proposed to solve this problem is called the Spatial Map-Matching Algorithm. Map-matching is used to map each raw GPS trajectory onto the road network, which is always necessary and critical because GPS tracking data is inaccurate. The purpose of this paper is to enhancement the performance of the Spatial Map-Matching Algorithm by selecting a number of candidate points and test points on the Spatial Map-Matching Algorithm in order to find the best CMP value. The combination of test points and selected candidate points can yield an optimal path that does not deviate with a high degree of accuracy. As a result, the Spatial Map-Matching Algorithm can be used to solve mapmatching issues in GPS Smartphones.

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Paper Citation


in Harvard Style

Vernanda E., Mahmudah H., Santoso T., Puspitorini O., Siswandari N. and Wijayanti A. (2021). Enhancement Accuracy of the Spatial Map Matching Algorithm using Combine Test and Candidate Points in Mobile Application. In Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES, ISBN 978-989-758-615-6, pages 976-982. DOI: 10.5220/0010957500003260


in Bibtex Style

@conference{icast-es21,
author={Erika Vernanda and Haniah Mahmudah and Tri Santoso and Okkie Puspitorini and Nur Siswandari and Ari Wijayanti},
title={Enhancement Accuracy of the Spatial Map Matching Algorithm using Combine Test and Candidate Points in Mobile Application},
booktitle={Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES,},
year={2021},
pages={976-982},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010957500003260},
isbn={978-989-758-615-6},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES,
TI - Enhancement Accuracy of the Spatial Map Matching Algorithm using Combine Test and Candidate Points in Mobile Application
SN - 978-989-758-615-6
AU - Vernanda E.
AU - Mahmudah H.
AU - Santoso T.
AU - Puspitorini O.
AU - Siswandari N.
AU - Wijayanti A.
PY - 2021
SP - 976
EP - 982
DO - 10.5220/0010957500003260