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Smart city article details

Title Aiot-Citysense: Ai And Iot-Driven City-Scale Sensing For Roadside Infrastructure Maintenance
ID_Doc 7121
Authors Forkan A.R.M.; Kang Y.-B.; Marti F.; Banerjee A.; McCarthy C.; Ghaderi H.; Costa B.; Dawod A.; Georgakopolous D.; Jayaraman P.P.
Year 2024
Published Data Science and Engineering, 9, 1
DOI http://dx.doi.org/10.1007/s41019-023-00236-5
Abstract The transformation of cities into smarter and more efficient environments relies on proactive and timely detection and maintenance of city-wide infrastructure, including roadside infrastructure such as road signs and the cleaning of illegally dumped rubbish. Currently, these maintenance tasks rely predominantly on citizen reports or on-site checks by council staff. However, this approach has been shown to be time-consuming and highly costly, resulting in significant delays that negatively impact communities. This paper presents AIoT-CitySense, an AI and IoT-driven city-scale sensing framework, developed and piloted in collaboration with a local government in Australia. AIoT-CitySense has been designed to address the unique requirements of roadside infrastructure maintenance within the local government municipality. A tailored solution of AIoT-CitySense has been deployed on existing waste service trucks that cover a road network of approximately 100 kms in the municipality. Our analysis shows that proactive detection for roadside infrastructure maintenance using our solution reached an impressive 85%, surpassing the timeframes associated with manual reporting processes. AIoT-CitySense can potentially transform various domains, such as efficient detection of potholes and precise line marking for pedestrians. This paper exemplifies the power of leveraging city-wide data using AI and IoT technologies to drive tangible changes and improve the quality of city life. © The Author(s) 2023.
Author Keywords Artificial intelligence; City-scale sensing; CitySense; Mobile IoT-RoadBot; Roadside infrastructure; Smart cities


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