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.

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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
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article

Real-time Vehicular Sensing System Design for Integrated Sensing as Service and IoT Platform in Smart Cities

Fetty Fitriyanti Lubis, Mindit Eriyadi, Fadhil Hidayat, Suhono Harso Supangkat
1 citations
Traffic Prediction and Management Techniques
0.27
article

Real-time Vehicular Sensing System Design for Integrated Sensing as Service and IoT Platform in Smart Cities

Fetty Fitriyanti Lubis, Mindit Eriyadi, Fadhil Hidayat, Suhono Harso Supangkat
article en
1 citations

Abstract

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.

Bandung Institute of Technology (ID)
Sustainable cities and communities
Openalex Percentile: Top 41%
Traffic Prediction and Management Techniques
0.27
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Real-time Vehicular Sensing System Design for Integrated Sensing as Service and IoT Platform in Smart Cities — Fetty Fitriyanti Lubis, Mindit Eriyadi, et al. · (2024) | TGRS Research Map | TGRS