Dear Colleagues,
we cordially invite you to the forth virtual MaaSLab Guest Lecture on
Managing congestion with Tradable Mobility Credits, by Dr Carlos Lima
Azevedo (DTU).
The lecture will take place Tuesday, the 29th of June 2021; 14:00 to
15:00 BST time (15:00 to 16:00 CEST).
The link to register is:
https://www.eventbrite.co.uk/e/maaslab-guest-lecture-managing-congestion-with-tradable-mobility-credits-tickets-144543380141?aff=erelexpmlt
After registering, you will receive Zoom details (a few days before the
event).
Lecture's Abstract: Tradable mobility credit (TMC) schemes are an
approach to travel demand management that have received significant
attention in the transportation domain in recent years as a promising
means to mitigate the adverse environmental, economic and social effects
of urban traffic congestion. In TMC schemes, a regulator provides an
initial endowment of mobility credits (or tokens) to all potential
travelers. In order to use the transportation system, travelers need to
spend a certain amount of tokens (tariff) that could vary with their
choice of mode, route, departure time etc. The tokens can be bought and
sold in a market that is managed and operated by a regulator at a price
dynamically determined by the demand and supply of tokens. In this
lecture, we will go over some of the key concepts of TMC and briefly
discuss a theoretical study on the efficiency and effectiveness of
area-based TMC using the trip-based Macroscopic Fundamental Diagram
model for the morning commute problem.
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). Prior to join DTU, he
held the position of Research Scientist and Executive Director of the
Transportation Education Committee at MIT, Postdoc at the Singapore-MIT
Alliance for Research and Technology and Research Scholar at the
Portuguese National Laboratory for Civil Engineering. He has a PhD
(2014), MSc (2008), 5y-BSc in Structural Engineering (2004) all from U.
Lisbon. He is expert in development of new models and simulation
techniques for smart mobility design and assessment. 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 systems, individual behavior experiments and
preferences modelling towards new mobility solutions, methods for the
calibration and validation of simulation tools and innovative road
safety assessment models without accident data.
On behalf of the MaaSLab team,
Manos
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*Manos (Emmanouil) Chaniotakis *
Lecturer (Assistant Professor) in Transport Modelling and Machine Learning
MaaSLab <https://www.maaslab.org/>, *UCL Energy Institute*
<https://www.ucl.ac.uk/bartlett/energy/>
*University College London (UCL)*
e:mail: [log in to unmask]
Central House | 14 Upper Woburn Place | London | WC1H 0NN
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