| Title |
AqVision: A Tool for Air Quality Data Visualisation and Pollution-free Route Tracking for Smart City |
| ID_Doc |
42143 |
| Authors |
Forkan, ARM; Kimm, G; Morshed, A; Jayaraman, PP; Banerjee, A; Huang, WD |
| Title |
AqVision: A Tool for Air Quality Data Visualisation and Pollution-free Route Tracking for Smart City |
| Year |
2019 |
| Published |
|
| DOI |
10.1109/IV-2.2019.00018 |
| Abstract |
Air quality is an important factor in planning activities in our everyday life. The information presented though captured data using Internet of Things (IoT) in smart cities is mostly single-dimensional where citizens do not have much opportunities to directly interact with the system to get personalised insights. Recent years have seen dire reports of extreme air pollution in mega cities around the world, which has led to government authorities grappling with solutions. Taking into account the existing IoT sensor setup in smart cities, it is now very convenient to visually explore the level of pollution of any places in real-time. In this context, this paper presents AqVision, a flexible visualisation tool for future citizens in smart cities that combines personalised awareness with generalised needs and leverages to envisage air pollution hotspots using more interactive manners considering individualised health and safety concerns. |
| Author Keywords |
Smart Cities; Air pollution; Air quality; Data visualisation; Internet of Things |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000538679200009 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Information Systems |
| Research Area |
Computer Science |
| PDF |
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