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Frontiers | Green economy studies amongst the global climate change challenge between 2016 and 2022: a bibliometric review

Practical and theoretical advancements have not caught pace with rising scientific researches in the rapidly emerging economy undertaking a shift to a more sustainable economy, particularly green economy. After the UN adopted the 2030 Agenda for Sustainable Development, there has been a surge in interest in the green economy among academics around the world, and the literature on the issue is proliferating. This paper adopts the methodology of systematic review and thematic analysis to summarize the relevant literature on areas related to the theme of green economy. The literature was obtained from the Web of Science database and the literature was analyzed using VOSviewer as well as the R language to couple the literature by keywords, country, affiliation, author, publication. The findings of the current paper show that the green economy has received more academic attention from scholars after 2016. The green economy is relatively leading in Asia and Europe. In the context of climate ....

United Kingdom , South Korea , Primorskiy Kray , City Of , United Arab Emirates , Tomskaya Oblast , United States , Goncalves Quelhas , Gil Lafuente , Hristov Kalin , Dias Carrilho , United Nations , Health Pol , Energy Econ , Grantham Research Institute On Climate , Green Sustainable Science Technology , Green Economy Or Sustainable Development , Pathways To Sustainable Development , Istanbul Gelisim University , Energy Rev , Green Growth Knowledge Partnership , Household Energy , Environmental Sciences , African Wildlife Economy Institute , Sustainable Development Journal , Pollution Research ,

Frequentis Orthogon and Micro Nav enhance ATCO training

Frequentis Orthogon and Micro Nav enhance ATCO training
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Frank Ko , Frequentis Orthogon , Micro Nav , Open Platform , Traffic Simulation , Greg Pile , Managing Director , Managing Director Frequentis ,

"Towards Agent-Based Traffic Simulation Using Live Data from Sensors fo" by Yan Qian, Johan Barthelemy et al.


Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Abstract
The Smart City and Internet-of-Things revolutions enable the collection of various types of data in real-time through sensors. This data can be used to improve the decision tools and simulations used by city planners. This paper presents a new framework for real-time traffic simulation integrating an agent-based methodology with live CCTV and other sensor data while respecting the privacy regulations. The framework simulates traffic flows of pedestrians, vehicles and bicycles and their interactions. The approach has been applied in Liverpool (NSW, Australia) showing promising preliminary results and can easily ingest additional sensor data, e.g. air quality. ....

Smart City , Agent Based Modelling , Ata Driven Simulation , Edge Computing , Intelligent Video Analytics , Smart City , Traffic Simulation , புத்திசாலி நகரம் , மார்ட் நகரம் ,