Using smartcard data for agent-based transport simulation
In Public Transport Planning with Smart Card Data, edited by Kurauchi, Fumitaka, and Jan-Dirk Schmöcker, 133-160, Boca Raton: CRC Press, 2016.
Dr Sergio Arturo ORDONEZ MEDINA
Main content
Senior Researcher of Engaging Mobility
Sergio is a Colombian computer scientist and mechanical engineer interested in modelling and simulation of complex systems. He studied his bachelors and masters 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. He got his PhD. from ETH Zurich at the mobility and transportation module of the Future Cities Laboratory in Singapore. His thesis is called Simulating work-leisure cycles in large scale scenarios: models and implementation. His current research focuses in modelling and implementing activity-based multi-agent simulations of urban mobility.
Research
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.
Education
PhD. Department of Civil, Environmental and Geomatic Engineering ETH Zurich, Zurich, Switzerland
MSc. Systems and Computing Engineering Department, Universidad de Los Andes, Bogotá, Colombia
B.Sc. Mechanical Engineering, Magna Cum Laude, Universidad de Los Andes, Bogotá, Colombia
Publications
Map-to-map matching editors in Singapore
In The Multi-Agent Transport Simulation MATSim, edited by Horni, Andreas, Kai Nagel and Kay W. Axhausen, 67-72, London: Ubiquity Press, 2016.
New dynamic events-based public transport router
In The Multi-Agent Transport Simulation MATSim, edited by Horni, Andreas, Kai Nagel and Kay W. Axhausen, 123-132, London: Ubiquity Press, 2016.
Semi-automatic tool for bus route map matching
In The Multi-Agent Transport Simulation MATSim, edited by Horni, Andreas, Kai Nagel and Kay W. Axhausen, 115-122, London: Ubiquity Press, 2016.
MATSim Singapore: Synthetic population and work locations
Singapore: URA Planning Analytics Symposium, 2016.
Impact of accessibility indices on secondary activity type and location type prediction using random forest classifiers
Delft: European Association for Research in Transportation, 2016.
Inferring weekly primary activity patterns using public transport smart card data and a household travel survey
Travel Behaviour and Society, Amsterdam: Elsevier, 2016.
Inferring weekly primary activity patterns using public transport smart card data and a household travel survey
2016.
Simulating work-leisure cycles in large scale scenarios: models and implementation
Doctoral Thesis, Zürich, ETH Zürich, 2016.
From Big Data to Smart Data: Developing a Large-scale public transport simulation that runs on Smart Card Data
2015.