This is a talk given by Prof Bilge Atasoy as part of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization, https://congreso.us.es/mlneedsmo/, branding the role of Operations Research in Artificial Intelligence with the support of EURO, https://www.euro-online.org.
Operations Research, Behavioral Modeling and Machine Learning need to work hand in hand to reach adaptive transport systems. The intersection between these methodologies enable to have (1) a predictive decision making towards robustness (2) a user-centric nature for better incorporation of preferences (3) an adaptive system that continuously evolve towards better decisions and better representation of user behavior. In this talk I will give examples at the intersection of these methodologies towards better transport performance and sustainability. I will also provide an outlook for future developments towards a holistic representation of supply and demand, together with the interactions between them, with the adaptive nature of the methodologies.
Link to the talk: https://eu.bbcollab.com/guest/0953c0928387448397ba36a45eaef74d
The organizers of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization
Emilio Carrizosa, IMUS-Instituto de Matemáticas de la Universidad de Sevilla
Nuria Gómez-Vargas, IMUS-Instituto de Matemáticas de la Universidad de Sevilla
Thomas Halskov, Copenhagen Business School
Dolores Romero Morales, Copenhagen Business School