Big Data-Driven Tranport Simulation Registration requested:
bit.ly/BigDataDriven
Finally knowing where it’s at and where it will be at... For the first time in transport planning, we have near perfect information on demand, and this helps us predict with unprecedented confidence. Cell phones, smart cards, and soon, perhaps, an internet of moving things. Every move you make leaves a trace, and makes your future moves more predictable. In this public talk, we will show why this is not as creepy as it sounds, and the ways in which we are moving towards a state where only a machine will ever see your data – at least in our world. And we will show just how much information is contained, not just in the points of data, but also the spaces between them.
Speakers: Alexey Pozdnukhov, Smart Cities Research Center, UC Berkeley Alexey works on scalable data analytics methods for semantically rich modelling of urban dynamics. His research links advanced machine learning, complex networks and spatial interaction models into a general framework to quantify the emergence and evolution of spatio-temporal patterns in everyday dynamics and socio-economic structure of cities.
Pieter Fourie, Future Cities Laboratory, ETH Zurich Pieter is a simulation modeler at the Future Cities Laboratory, specializing in transportation. His work focuses on using transit smart card data to produce very accurate simulation of current and future transport system networks.
The evening will close with a networking reception.
