Today's growth in big data, edge computing, high-performance computing, and machine learning has opened tremendous opportunities for advances in mobility. The 13
th
International Workshop on Computational Transportation Science (IWCTS 2020) is particularly timely given the prominence of connected automated vehicles technologies in the global auto industry's near-term growth strategies, of big data analytics, unprecedented access to sensing data of mobility, and of integration of this analytics into the optimization of mobility and transport. These developments (as listed below) are deeply computational.
• Transportation Planning & Modeling: travel behavioral analysis, modeling and simulation of population movements and freight transportation systems.
• Transportation Operations: Connected and Autonomous (CAVs), Computational traffic flow models and control algorithms, role of transportation in community spread of a pandemic (COVID-19).
• Infrastructure Sensing: Digital Twin, Data-driven approaches to transportation systems operations
• Other Technologies: Urban sensing technologies, Geoinformatics and Regional Science
Trends in High‐Performance Interconnection Networks in the Exascale and Big‐Data Era (HiPINEB 2017)
