Real-time Vehicular Sensing System Design for Integrated Sensing as Service and IoT Platform in Smart Cities
This study focuses on the design and implementation of a Real-time Vehicular Sensing System (RVSS) aimed at enhancing air quality monitoring in smart cities. By integrating advanced sensors into moving vehicles, the system captures real-time environmental data across diverse urban areas. This research addresses the limitations of static monitoring stations, offering broader geographical coverage and greater data collection flexibility. The proposed system includes low-cost components, enhanced sensor calibration, and optimized data processing algorithms to ensure accurate and reliable data. It also features real-time data transmission and a user-friendly dashboard for dynamic monitoring. The primary contribution of this study is to establish a robust foundation for an effective Vehicular Sensing system, providing valuable insights for researchers and policymakers to improve air quality management in smart cities.
Authors
- Fetty Fitriyanti Lubis (ORCID: https://orcid.org/0000-0002-0397-9782)
- Mindit Eriyadi (ORCID: https://orcid.org/0000-0002-5842-3212)
- Fadhil Hidayat (ORCID: https://orcid.org/0000-0001-6655-3802)
- Suhono Harso Supangkat
Institutions
- Bandung Institute of Technology (ID)
Publication Details
- Published
- 2024-09-04
- DOI
- https://doi.org/10.1109/iciss62896.2024.10751660
- Citations
- 1
- Primary Topic
- Traffic Prediction and Management Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.27