Synthetic Sweden Mobility (SySMo) Model Documentation
Preprint, 2022
activity-based modeling
machine learning
agent-based modeling
synthetic population
Author
Çaglar Tozluoglu
Chalmers, Space, Earth and Environment, Physical Resource Theory
Swapnil Vilas Dhamal
Chalmers, Space, Earth and Environment, Physical Resource Theory
Yuan Liao
Chalmers, Space, Earth and Environment, Physical Resource Theory
Sonia Yeh
Chalmers, Space, Earth and Environment, Physical Resource Theory
Frances Sprei
Chalmers, Space, Earth and Environment, Physical Resource Theory
Devdatt Dubhashi
Chalmers, Computer Science and Engineering (Chalmers), Data Science and AI
Madhav Marathe
University of Virginia
Christopher Barrett
University of Virginia
The new future of mobility: Using a Synthetic Sweden to study transition pathways to autonomous, shared, and electromobility
Formas (2018-01768), 2019-01-01 -- 2023-11-30.
Subject Categories
Other Computer and Information Science
Transport Systems and Logistics
Driving Forces
Sustainable development
Areas of Advance
Transport