This seminar will take place on May 5 at 15:30. The seminar will be in a hybrid format with:
-
in-person session in the IST Alameda Campus, Department of Engineering and Management's Meeting Room
-
online, via Zoom https://videoconf-colibri.zoom.us/j/96667378626?pwd=WDFaNkpsQkZCd2cyanRFZjArL2FSdz09
Our seminars are free to attend and open to everyone. Please share with whomever may be interested.
Summary
Urban congestion is a problem in many metropolitan areas worldwide. One solution is to utilize classical microscopic traffic simulators to design traffic management strategies to mitigate congestion. However, such simulation tools require a large computational power for large-scale metropolitan areas. The aggregated traffic models based on the Macroscopic Fundamental Diagram (MFD) represent a promising tool for designing such solutions with low computational costs. The idea behind these aggregated models is to partition the urban network into a set of homogeneous regions, i.e. where traffic travels at approximately the same spatial mean speed, to define an aggregated/regional network. In an analogy with hydrodynamics, the traffic dynamics in this regional network are modeled as exchange flows between adjacent regions. However, the aggregation of the city into a regional network brings several challenges, notably in the definition and characterization of paths where vehicles will have to travel in this aggregated network. In this talk, I will discuss the step-by-step application of these aggregated traffic models to mimic the network-wide congestion patterns in large metropolitan cities. I will also discuss one application example of these aggregated traffic models for estimating network-wide exhaust emissions.
Speaker's bio
Sérgio F. A. Batista graduated in Physics and Applied Mathematics from the Faculty of Sciences, University of Porto (Portugal). In 2015, he joined the Horizon 2020 ERC project MAGnUM and received his Ph.D. degree in Civil Engineering (focusing on transportation) from the University of Lyon (France) in 2018. He is currently a Research Faculty at the Division of Engineering of New York University Abu Dhabi (United Arab Emirates). Sérgio F. A. Batista has authored more than 10 papers on transportation, delivered several talks at top conferences in transportation and mobility, and serves as a reviewer for more than 10 scientific journals. His research focuses on traffic flow theory, network modeling, travel behavior, the application of machine learning models in transportation science, and the decarbonization of transportation and adaptation to climate change.
Personal homepage: https://scholar.google.com/citations?user=liMrFQgAAAAJ&hl=pt-PT