Lecture 3:
Multimodal Transportation System Simulation
by Associate Professor Carlos Azevedo, Technical University of Denmark, Denmark
Lecture description: This mini-course presents state-of-the-art models and simulation tools for supporting the planning, design, and operations of multi-modal urban transportation systems. Recent trends include the advocacy for demand responsive and automated services as future public transportation systems. These trends have heightened interest in a more integrated planning and management of public transportation as a potential solution to mitigate congestion and improve accessibility and network efficiency, but also raised several questions on its optimal design and impacts, especially when probing the future role of mass transit. In this mini-course, we will focus on the fundamental methods underlying the research-based tools for multi-modal transportation including: simulation, network modelling, equilibrium, passenger demand and user behavior, calibration and scenario exploration in simulation. We will take a particular look at the concepts for modelling and simulating mass transit in a multi-modal environment. The course also presents a few research case-studies to demonstrate concepts and showcase potential applications.
This course draws mainly on the research carried out within the SimMobility development effort, an open-source platform started by SMART and the Massachusetts Institute of Technology and now being used and developed by research groups around the world.
About lecturer: Carlos Lima Azevedo is an Associate Professor at the Technical University of Denmark (DTU) and a Research Affiliate of the ITS Lab at the Massachusetts Institute of Technology (MIT). He is a member of the Machine Learning for Smart Mobility Section and the Head of Studies for the M.Sc. in Transport and Logistics at DTU. Prior to join 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 U. Lisbon. His research focuses on modelling and simulation of future mobility solutions. Previous research includes the development and application of large-scale agent-based urban simulation, its application for the design and evaluation of shared automated vehicles on-demand, the development of personalized real-time incentive and tradable credit schemes, innovative behavior sensing, modelling and simulation towards new mobility solutions and mental well-being, and the combination of machine learning and simulation methods for the design and optimization of transportation systems.
