Passive radars as low environmental impact solutions for smart cities traffic monitoring

Author(s):  
P. Gomez-del-Hoyo ◽  
J.L. Barcena-Humanes ◽  
D. Mata-Moya ◽  
D. Juara-Casero ◽  
V. Jimenez-de-Lucas
Author(s):  
Wendy W. Fok ◽  

Minerva Tantoco was named New York City’s first chief technology officer last year, charged with developing a coordinated citywide strategy on technology and innovation. We’re likely to see more of that as cities around the country, and around the world, consider how best to use innovation and technology to operate as “smart cities.”The work has major implications for energy use and sustainability, as cities take advantage of available, real-time data – from ‘smart’ phones, computers, traffic monitoring, and even weather patterns — to shift the way in which heating and cooling systems, landscaping, flow of people through cities, and other pieces of urban life are controlled. But harnessing Open Innovation and the Internet of Things can promote sustainability on a much broader and deeper scale. The question is, how do you use all the available data to create a more environmentally sound future? The term “Internet of Things” was coined in 1999 by Kevin Ashton, who at the time was a brand manager trying to find a better way to track inventory. His idea? Put a microchip on the packaging to let stores know what was on the shelves.


Author(s):  
Chi-Yat Lau ◽  
Man-Ching Yuen ◽  
Ka-Ho Yueng ◽  
Cheuk-Pan Fan ◽  
On-Yi Ko ◽  
...  

Smart cities are one of the upcoming trends in the world. These smart cities include smart traffic light system, smart cars, smart homes, smart traffic monitoring system. As environmental pollution has become the major cause of various problems like climatic changes, improper irrigation methods, depletion of the ozone layer etc. “Automated Pollution Detection System using IoT and AWS Cloud” provides an architecture for integrating IoT and Cloud Computing and an application which is used to detect air pollution by fitting in arduino devices at public places like traffic lights, industrial areas, construction areas etc., and transferring the data using GSM modem to a cloud database server AWS RDS. The cloud server is linked with the EC2 instance (Ubuntu server) in order to publish the web application using EC2. Web Application which is created using Word press and a Mobile application using Android Studio. The Web application shows the value of pollutant at a particular place along with the map facility by using GPS in the Arduino. This is also linked to a mobile application which sends a push notification service (SNS) to our mobile application


Author(s):  
Mauro Coccoli ◽  
Vincenzo De Francesco ◽  
Antonio Fusco ◽  
Paolo Maresca

AbstractThe study presented in this paper is the outcome of the activity carried on within the program “Party Cloud Challenge per Genova”, promoted by IBM in collaboration with the city municipality of Genoa, Italy. This challenge aimed to show how using cognitive computing solutions in an integrated cloud-based development environment enables the rapid deployment of advanced services with interoperable applications. Specifically, we investigated a solution to cope with the problem of illegal dumping prevention in a smart city. In this respect, we will describe the study of the prototype of an automated visual recognition and alerting system. The presented solution relies on the use of cognitive computing technologies to analyze videos provided by cameras installed in urban areas, to identify trash, especially bulky waste, where it should not be, and trigger an alarm to the municipality. In particular, we want to take advantage of the pictures, frames and videos continuously recorded by cameras installed for traffic monitoring, for surveillance, etc. in smart cities where the waste management system is supposed to be integrated with other municipality services for environment control and management. Besides, an organization plan is also proposed for intelligent waste collection as well as some organizational ideas for scalability.


2021 ◽  
Vol 89 ◽  
pp. 106906
Author(s):  
Sulaiman Khan ◽  
Shah Nazir ◽  
Iván García-Magariño ◽  
Anwar Hussain

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