CITYENGINE BIGGEST FACE WINDOWS
This dataset then is brought into CityEngine to generate the city procedurally.Īs hopefully most of you know by now, CityEngine model generation can be controlled via parameters and attributes like: number of floors, what kind of windows a building has, the year of construction etc., so if you have a dataset with these kinds of parameters, then this can be modelled in CityEngine. The next step is to process the data into a database that can be controlled. Some organizations have the roads, some have the traffic lights and some data does not even exist yet.įor example, there was no database covering the rooftop materials, so for the “Virtual Gothenburg” project, this data set was built using orthographic imagery and an AI that looks at all the different rooftops and calculates what kind of materials can be used to visually represent them. Western Sweden invests 10 million euro in digital twin technology with contributions coming from the private, public and academic sectors.Ĭhalmers University was interested in researching the creation of a digital twin using Epic Games’ Unreal Engine and the city of Gothenburg served as the perfect base for this research.įirst up, to get started, we need data and lots of it and so this data of course needs to be collected.ĭata is scattered all over the city and comes from a variety of sources. Digital twins can be useful for example to study shadowing impacts, train autonomous vehicles, or simulate flood level scenarios as can be seen in the example in the video above.įigure 3: A rendering of “Virtual Gothenburg” in Unreal Engine Simulated or scenario data can be used to predict the future (answering a bunch of those “what if” questions).There are countless technologies like smart phones (which we all have) and the fourth industrial revolution (Industry 4.0) which includes things like the Industrial Internet of Things (IIoT) and it’s sensors, RFID’s and cloud services. As a society we’re digitally advancing (rapidly!) and we’ve never been more connected. The Real-time data can be used to regulate or control a city (e.g.An example are the Living Atlas Indicators provided with ArcGIS Urban. Historical data can be used to view, analyze and understand the city and how it works.To be truly useful, a digital twin also needs to accurately consume and represent all the information connected to it.Īccordingly, Digital Twins can be used for many different things: It’s important to know that a digital twin is not just a visual copy of the physical assets (i.e. This is exactly what Gothenburg decided to do with the aim of releasing a digital version of Gothenburg by 2021. One answer to this is to build a digital twin of a city and/or its surroundings in order to analyze historical or real-time data and study simulations of potential future scenarios. On top of this, we face other challenges as a global society like the recent COVID-19 crisis or impacts of climate change in the form of drought, seismic activity or rising sea levels. infrastructure in place to deal with the influx in population), energy solutions, public health, quality of life and economic growth (to name a few). ensuring there is enough housing and that it’s affordable), transportation (e.g. I think most of us have heard the term “ Smart City” at least once by now, but what exactly is it and why is it hailed as the future of urban planning?Īs the earth’s population increases by around 1% each year, it’s vital that cities and their supporting ecosystems address ways of living (e.g. It is situated by Kattegat, on the west coast of Sweden, and has an approximate population of 570,000 in the city and about 1 million inhabitants in the metropolitan area. Gothenburg is the second-largest city in Sweden, fifth-largest in the Nordic countries, and the capital of the Västra Götaland County. By using tools like CityEngine, FME (Feature Manipulation Engine) and Unreal Engine, the city of Gothenburg is building a compelling digital twin called “Virtual Gothenburg”.
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