Development of an Autonomous Navigation System Using Google Maps API for a Package Delivery Device

This research explores the development of an autonomous navigation system for package delivery devices, utilizing the Google Maps API as the core navigation framework. As the demand for efficient logistics grows, the integration of advanced autonomous technologies can enhance operational effectiveness, reduce reliance on human labor, and optimize delivery times. The autonomous robot car, designed with specific operational specifications, operates at a frequency of 0.75Hz, allowing it to query the Google Maps API every 1.5 seconds for route updates. The system processes GPS data and communicates with the Google Directions API to determine optimal routes, incorporating essential parameters such as origin, destination, and travel mode. By analyzing real-time data, the robot can adjust its path, avoid obstacles, and ensure safe navigation. This innovative approach demonstrates significant potential to improve delivery accuracy and customer satisfaction through enhanced route management and operational efficiency.

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Publication Details

Published
2024-10-17
DOI
https://doi.org/10.1109/ceria64726.2024.10915065
Citations
1
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.35
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Development of an Autonomous Navigation System Using Google Maps API for a Package Delivery Device

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article

Development of an Autonomous Navigation System Using Google Maps API for a Package Delivery Device

Yuliarman Saragih, Triando Hamonangan Saragih, Resi Sujiwo Bijokangko, Agatha Elisabet Saragih, Carolan Ignatius Saragih, Bahterayudha Bahterayudha
article en
1 citations

Abstract

This research explores the development of an autonomous navigation system for package delivery devices, utilizing the Google Maps API as the core navigation framework. As the demand for efficient logistics grows, the integration of advanced autonomous technologies can enhance operational effectiveness, reduce reliance on human labor, and optimize delivery times. The autonomous robot car, designed with specific operational specifications, operates at a frequency of 0.75Hz, allowing it to query the Google Maps API every 1.5 seconds for route updates. The system processes GPS data and communicates with the Google Directions API to determine optimal routes, incorporating essential parameters such as origin, destination, and travel mode. By analyzing real-time data, the robot can adjust its path, avoid obstacles, and ensure safe navigation. This innovative approach demonstrates significant potential to improve delivery accuracy and customer satisfaction through enhanced route management and operational efficiency.

Atma Jaya Catholic University of Indonesia (ID), Institute of Transportation and Logistic Trisakti (ID), University of Singaperbangsa Karawang (ID), Universitas Achmad Yani (ID), Universitas Jenderal Achmad Yani (ID), Pusan National University (KR)
Openalex Percentile: Top 30%
Advanced Manufacturing and Logistics Optimization
0.35
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