The new future of mobility: Using a Synthetic Sweden to study transition pathways to autonomous, shared, and electromobility
Electric vehicles (EVs), autonomous vehicles (AVs), and shared mobility are emerging as the three most important transformative changes in transport in recent history. They have the potential to significantly reduce greenhouse gas (GHG) emissions and mitigate climate change. There is, however, an urgent need to provide a new generation of transport modeling framework that simulates, supports, and plans for the major paradigm shifts of new mobility in large geographical regions. Synthetic Sweden is unique in being the first attempt to combine agent-based modeling (ABM) with Big Data analytics and large-scale optimization techniques to study the transformative changes in mobility. This project will apply state-of-the-art analytical tools deeply rooted in recent advances in computer science and information and communication technology (IC T) – including synthetic information systems, ABMs, Big Data analytics and large-scale optimization. The framework will be used to explore how transformative technologies, new mobility services, and consumer behaviours involving EVs and AVs will co-evolve to meet future mobility needs; what are the infrastructure requirements; and how changes in behaviour, land use (urban vs. rural) and new policies can both increase societal benefits and reduce energy use and GHG emissions. Through scenarios and case-studies we aim to develop realistic decisions supporting tools that will improve the design and planning of sustainable mobility.
- University of Virginia (Academic, United States)
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Professor, Department of Space, Earth and Environment, Physical Resource Theory. Co-Director of Chalmers Energy Area of Advance
Dr. Sonia Yeh is Professor in Transport and Energy Systems in the Department of Space, Earth and Environment. Her expertise is in energy economics and energy system modeling, alternative...
Full Professor at the Data Science and AI division, Department of Computer Science and Engineering.
My main interests are in design and analysis of randomized algorithms, machine learning for Big Data and computational biology.
Associate Professor, Department of Space, Earth and Environment, Physical Resource Theory.
Frances Sprei’s research assess different personal mobility options, such as alternative fueled vehicles and electric vehicles as well as innovative mobility forms such as car sharing and ride...