Abstract
The increasing development of urban centers brings serious challenges for traffic management. In this paper, we introduce a smart visual sensor, developed for a pilot project taking place in the Australian city of Liverpool (NSW). The project’s aim was to design and evaluate an edge-computing device using computer vision and deep neural networks to track in real-time multi-modal transportation while ensuring citizens’ privacy. The performance of the sensor was evaluated on a town center dataset. We also introduce the interoperable Agnosticity framework designed to collect, store and access data from multiple sensors, with results from two real-world experiments.
Highlights
With massive increases in the world’s population and more than 60% of the world population projected to live in urban areas, cities face serious urban planning challenges [1]
While there is no consensual definition of what a smart city is [3], it commonly involves the usage of Information and Communication Technologies (ICT) to design tools which should respond to people’s needs through sustainable solutions for social and economic challenges
This paper presents a new sensor, based on the edge-computing paradigm, for real-time traffic monitory leveraging the existing CCTV network data to address the issues of the network cost by adding new usages while respecting the privacy regulations
Summary
With massive increases in the world’s population and more than 60% of the world population projected to live in urban areas, cities face serious urban planning challenges [1] Do they face rapidly growing population, but they have to deal with social and sustainability challenges. Many Australian cities are rapidly developing their existing CCTV network These large networks represents a major cost for the councils in terms of maintenance, but are only used for investigating incidents and monitor anti-social behaviors in public places [7]. This paper presents a new sensor, based on the edge-computing paradigm, for real-time traffic monitory leveraging the existing CCTV network data to address the issues of the network cost by adding new usages while respecting the privacy regulations.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
