I-24 Motion Data Tutorial
The I-24 MOTION testbed produces an extensive amount of trajectory data, which can be overwhelming for users to handle due to its large size. This tutorial is designed to help users navigate data queries, generate smoothed speed field and virtual vehicle trajectories from the dataset, allowing researchers to analyze speed variations within the testbed. By simplifying the process, the tutorial aims to reduce the complexity of using the data, paving the way for a smoother transition from data-ready to AI-ready applications.
William Barbour is Senior Research Scientist at the Institute for Software Integrated Systems at Vanderbilt. He has previously worked at Oak Ridge National Laboratory and CSX Transportation. Dr. Barbour's research interests focus on the application of novel and advanced computational techniques to transportation systems engineering; examples include big data analytics, machine learning, optimization, and artificial intelligence. He serves as the engineering and technology lead for the I-24 MOTION testbed and is passionate about using intelligent transportation systems solutions to improve mobility.
Junyi Ji is a PhD student at Vanderbilt University working with Prof. Dan Work. He is mainly devoted to the I-24 MOTION testbed. His research focuses on understanding the nature of traffic waves and developing a mathematical digital twin for the freeway testbed. His research vision is to integrate computational methods and cyber-physical systems (CPS) for sustainable transportation solutions aligned with the UN Sustainable Development Goals (SDGs). He is a strong advocate for open science. He is the founder of the workshop on vehicle trajectory data camp and actively volunteers with organizations such as Citipedia, RE-RITE, and MoveVU.
For the data: Register at i24motion.org and become a verified user then go to i24motion.org/data to find the dataset to download link