Assessment of Using Artificial Intelligence Navigational Applications in Metro Manila
Navigation systems are frequently used by people and are a basis for routes, transportation, and logistics. Many users of GPS applications often encounter problems when using these systems due to incorrect data being received. The study investigated the issues users face regarding their use of GPS applications and the lack of features that need to be improved or included. The study utilized the data gathered in the survey to understand underlying themes and problems encountered by respondents, and it shows that the integration of AI with navigation systems will benefit users. The survey also discovered that most respondents have a high level of complete agreement on integrating AI into navigational applications. The research explores integrating real-time data from CCTV cameras across Metro Manila into AI-powered GPS navigation apps. By collecting data from CCTVs, the study aims to advance the accuracy and capability of GPS navigation and devising routes in Metro Manila. By understanding individual behavior and preferences, AI algorithms can provide tailored suggestions for nearby points of interest and route preferences. The level of personalization greatly enhances the user experience gives a broader perspective on navigation throughout Metro Manila and improves engagement with AI-integrated GPS tracking applications.
Authors
- Mary Jane C. Samonte (ORCID: https://orcid.org/0000-0001-9867-8722)
- Aymeric Lim (ORCID: https://orcid.org/0000-0002-6980-1768)
- Raymond B. Sedilla
- Edrick Joseph D. Concepcion
- Glenmar P. Otilla
- Rojelio C. Velarde
Institutions
- Mapúa University (PH)
- University of the Philippines Manila (PH)
Publication Details
- Published
- 2024-08-16
- DOI
- https://doi.org/10.1109/icste63875.2024.00041
- Primary Topic
- Maritime Navigation and Safety
- Type
- article
- Field-Weighted Citation Impact
- 0.00