Using Agent Based Modelling to make better decisions

Assumptions regarding how people move and behave have grown increasingly inaccurate in the past decade.

At Arup, we model each individual by using Agent Based Modelling (ABM), to capture useful insight into the radical shifts in travel behaviour, at a large scale.

Watch this video to find out how this technology can help cities make more equitable decisions and investments for the future at a faster speed.

[wccmmexico]

Very interesting. Thank you. QUestions . What is the information dat to input into the software to provide, simulation and set changes in the mobility strategy for a city and interurban transportation?

[joshc]

Could you do this with every individual animal and device on the planet and use it to predict every possible future?

[Macrocompassion]

Agent-based modeling is not properly useful unless it uses idealized aggregate properties of its sectors. Today it may well be possible to follow individuals and then to take their aggregates (so as to see the big picture in a way we can understand), BUT since we need these aggregates to understand the process, we might as well save the effort of inputting so much individual's data and begin with in the aggregated agents rather than having to make the later conversion to what they do on average in a form we can understand.