Learning Freeway Congestion with 100 Days of Data from 294 Cameras

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ITS Graduate Student Association, Pacific Southwest Region (PSR) University Transportation Center, UC ITS Statewide Transportation Research Program (STRP), UC ITS Resilient and Innovative Mobility Initiative (RIMI), NSF Smart and Connected Communities Project (NSF S&CC)

Event Overview

The Tennessee Department of Transportation’s I-24 Mobility Technology Interstate Observation Network (MOTION) is a four-mile section of I-24 in the Nashville-Davidson County Metropolitan area with 294 ultra-high definition cameras. Those images are converted into a digital model of how every vehicle behaves with unparalleled detail. This is all done anonymously using trajectory processing algorithms developed by Vanderbilt University. By unlocking a new understanding of how these vehicles influence traffic, vehicle and infrastructure design can be optimized to reduce traffic concerns in the future to improve safety, air quality, and fuel efficiency. For more details, data, and tools, visit i24motion.org.

SPEAKER
Junyi Ji is a PhD Candidate at Vanderbilt University working with Prof. Daniel B. Work. He is mainly focusing on the TDOT I-24 MOTION, a real-world freeway testbed generating billion-level vehicle trajectory data. His primary research focuses on the multi-scale dynamics of traffic waves. 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 initiator of the workshop on vehicle trajectory data camp and actively volunteers with organizations such as RERITE, Citipedia, and MoveVU.

Speakers

Junyi Ji

PhD Candiate

speaker

Vanderbilt University