Estimating the mobility demand is a fundamental step for any traffic and transport model. The problem is well known to be complex and it is hard to estimate daily demand flows that are consistent with individual activity-travel choices (activity location and duration, departure time, mode and route choices). This talk presents a new theoretical framework based on utility maximization theory and Markov Chain Monte Carlo sampling techniques to estimate activity-specific trips from aggregated data. These estimated trips allow to capture, in a dynamic and stochastic estimation process, the dynamics of the OD matrix structure, without necessarily resorting to expensive data. A second part of this talk will focus on exploring the opportunities for crowdsourced data for linking activities with aggregated mobility patterns.


Francesco Viti is head of the MobiLab Transport Research Group, member of the Computational Engineering Institute at the Department of Engineering, associate member of the MIT SCALE Center for Logistics and Supply Chain Management (LCL) and of the 360Lab at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg. He is also Visiting Professor at the Institute of Transport and Logistics Studies at the University of Sydney. His research activities range from mobility and travel behavior analysis, network modelling and control, optimization and data science. Current projects he coordinates include public transport electrification and optimisation, multimodal design and planning, Mobility-as-a-Service and on-demand modelling, transport and freight intermodal logistics, and big data analytics. He is author of over 300 journal and conference papers, reviewer of top journals in the transportation domain, and associate editor of the Journal of ITS, Transportation Research Part C, and Data Science for Transportation. He is consultant for the European Commission, the Luxembourgish Ministries of Mobility and Public Works and of Economy, the EIT Urban Mobility, the Italian Ministry of research and for many international funding agencies.


University of Queensland, St Lucia
46-914 (Andrew N. Liveris Building)