Dear Colleagues,
We would like to invite you to a one-week MIT course taught remotely from July 31-August 4, 2023:
Transportation Networks and Smart Mobility: Methods and Solutions
This course presents newly developed data analytics, demand and supply models, and simulation tools for use in the planning, design, and operations of transportation systems including Intelligent Transportation Systems, Smart Mobility, public transportation and emerging modes, freight and e-commerce, congestion pricing and related sustainability and decarbonization policies. The methods covered include: traffic simulation, static and dynamic network models, equilibrium and dynamic algorithms, passenger and freight demand and user behavior, passenger and freight sensing, machine learning applications, data fusion to estimate origin to destination flows, calibration and validation of simulators, and online platform with reinforcement learning for prediction, optimization and personalization of smart mobility.
This course is intended for individuals interested in research and practice, including professionals in the mobility industry, individuals with experience in transportation consulting, planning and related government agencies, graduate students in transportation systems, civil engineering, economics, planning and urban mobility, and individuals with backgrounds in traffic engineering, systems engineering, operations management, and control systems.
Partial scholarships (50%) are available for junior faculty, postdocs, and graduate students.
Additional information is available here. We appreciate your help in making people aware of this unique opportunity to study this summer at MIT.
Thanks, Moshe
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Moshe Ben-Akiva
MASSACHUSETTS INSTITUTE OF TECHNOLOGY
Edmund K. Turner Professor of Civil and Environmental Engineering
Director, Intelligent Transportation Systems Lab
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