This seminar will take place on June 9 at 11:00, online via Zoom (link below)
https://zoom.us/j/95446217896?pwd=aIISCHimi5BHYvipSbO1gogDT2XOkR.1
The seminar is an initiative of the MOSAIC research area.
Our seminars are free to attend and open to everyone. Please share with whomever may be interested.
Summary
Emotions are an outcome of experiences, including travel, and they play a crucial role in decision-making, extending beyond classical rational choice theory. However, integrating emotions in our travel behaviour models is challenging due to their latent nature, and the complexity in assessing their causes and impacts on decision-making. In this lecture, I will discuss our recent efforts in sensing, classical modelling and machine learning to illuminate these connections within the urban mobility context.
Speaker's bio
Carlos Azevedo is an Associate Professor at the Department of Technology, Management and Economics of the Technical University of Denmark and a Research Affiliate of the ITS Lab at the Massachusetts Institute of Technology (MIT). He is a member of the Intelligent Transportation Systems Section and the Head of Studies for the M.Sc. in Transport and Logistics at DTU. Prior to joining DTU, he was a Research Scientist (2016-18) and the Executive Director of the Transportation Education Committee (2016-17) at MIT. He was a Senior Postdoctoral Associate at the Singapore-MIT Alliance for Research and Technology (2014-15) and a Research Scholar at the Portuguese National Laboratory for Civil Engineering (2005-13). He has a PhD (2014) in Transportation Systems, a MSc (2008) in Transportation Engineering and a 5-year BSc in Structural Engineering (2004) all from IST - U. Lisbon. His research focuses on combining behaviour modelling, machine learning and simulation of future mobility solutions. Previous research includes the development and application of individual behaviour sensing and modelling frameworks, large-scale agent-based urban simulation and the design and evaluation of demand management and supply solutions for increased welfare and well-being.
Personal homepage: www.azevedo.info