Sergio is a Colombian computer scientist and mechanical engineer interested in modelling and simulation of complex systems. He studied his careers and master degree in La Universidad de Los Andes, in Bogota Colombia with Magna Cum Laude honours. His bachelor thesis was a prototype for training simulation of fluvial combat. His master thesis was a micro-simulator of urban mobility of cities on development. He obtained the second best score of the country in the superior education quality exam conducted by the Colombian government. He worked as an Instructor professor in the same university, teaching object-oriented programming and working in projects about military defence, fluid dynamics and urban transport. Currently he is an ETH Zurich PhD. student of the mobility and transportation module of the Future Cities Laboratory project in Singapore. His research focuses in the modelling and implementation of activity-based multi-agent simulation of urban mobility in a week time horizon.


How do people in cities plan their activities? and in future cities? In a week time horizon people plan mandatory activities like work or a medical appointment at the beginning of the week, or the end of the day. But there are other activities that people plan on-the-fly according to their current situation. There are also activities floating in time waiting for the right moment, like buying groceries. Activity-based transport demand models is a relatively new approach to study, plan and forecast land transport in cities or countries. If you can predict what millions of people in a city do, in which location and at which time, you can design better transportation systems. This approach is just starting to be applied to longer periods of time like weeks or months. The standard weekday will be no longer quite so crucial as working won’t be the most important human activity forever.