Developing an algorithm for modeling noisy global positioning system (GPS) data for highways

GPS devices' improved accuracy and precision open the door to novel technology applications. Over the past five years, GPS data has been employed by many transportation ministries to aid in the collection of highway signals for provincial highway networks. This mapping project produced a thorough site link incorporated into an all-encompassing integrated area model of the highway network. The following procedures were presented in this research to help sift through this amount of information and generate accurate geometric representations of the highway: 1. The first step is translating GPS coordinates (Latitude and longitude) into a Cartesian coordinate system. 2. Second, organize the information in one central lane. Remove any unnecessary or erroneous information. 3. The sheer volume of information meant that this process had to be automated. 4. Create a precise geometric model of the road. Cubic splines are used for this approximation. 5. Evaluate the precision of the cubic-spline ratio concerning the road construction records.

Publication Details

Journal
ARPN Journal of Engineering and Applied Sciences
Published
2025-10-31
DOI
https://doi.org/10.59018/0725132
Primary Topic
Historical Geography and Cartography
Type
article
Field-Weighted Citation Impact
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article

Developing an algorithm for modeling noisy global positioning system (GPS) data for highways

ARPN Journal of Engineering and Applied Sciences
Historical Geography and Cartography
article

Developing an algorithm for modeling noisy global positioning system (GPS) data for highways

article en

Abstract

GPS devices' improved accuracy and precision open the door to novel technology applications. Over the past five years, GPS data has been employed by many transportation ministries to aid in the collection of highway signals for provincial highway networks. This mapping project produced a thorough site link incorporated into an all-encompassing integrated area model of the highway network. The following procedures were presented in this research to help sift through this amount of information and generate accurate geometric representations of the highway: 1. The first step is translating GPS coordinates (Latitude and longitude) into a Cartesian coordinate system. 2. Second, organize the information in one central lane. Remove any unnecessary or erroneous information. 3. The sheer volume of information meant that this process had to be automated. 4. Create a precise geometric model of the road. Cubic splines are used for this approximation. 5. Evaluate the precision of the cubic-spline ratio concerning the road construction records.

ARPN Journal of Engineering and Applied Sciences
Openalex Percentile: Top 62%
Historical Geography and Cartography
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