Bridging Traffic and Vehicular Research
8:30 AM - 12:30 AM, September 24, 2024, Edmonton, Canada
Salon 17-18, Edmonton Convention Centre
Motivation and objectives
Vehicle trajectory data is a cornerstone of modern traffic dynamics analysis and autonomous driving research, serving as a vital resource within the ITS community. In today’s era of connectivity and automation, vehicle trajectory data is evolving from a mere observable measurement to a critical component that acts as both an observer and a controller within the system. With more vehicle trajectory data generated, it (1) bridges the gap between individual microscopic behaviors and macroscopic traffic phenomena, offering detailed insights that are crucial for understanding complex traffic interactions, (2) enhances safety and environmental analysis by its high resolution and accuracy, (3) unlocks new possibilities for research in generative AI, enabling the development of innovative models that can predict and simulate traffic patterns with unprecedented precision.
Invited talks
Third Generation Simulation Data (TGSIM): A closer look at the impacts of automated driving systems on human behavior
Speaker: Prof. Alireza Talebpour, Assistant Professor at University of Illinois Urbana-Champaign
Highlight: The Third Generation Simulation (TGSIM) project utilizes advanced data collection methods, including aerial and infrastructure-based videography, to investigate the interactions between human drivers and automated vehicles across various environments and traffic scenarios, offering insights to improve traffic models and autonomous vehicle integration.
MicroSIM ACC Electric Edition: Trajectory data, modeling, and simulations
Speaker: Prof. David Kan, Assistant Professor in Civil Engineering at Florida Atlantic University
Highlight: David Kan’s team is at the forefront of collecting trajectory data from electric and automated vehicles, having amassed over 1000 miles of data (microSIM-ACC) using mainstream electric vehicles equipped with Adaptive Cruise Control (ACC).
Zen Traffic Data: Comprehensive vehicle trajectory data from multiple locations
Speaker: Prof. Toru Seo, Associate Professor at Tokyo Institute of Technology
Highlight: Zen Traffic Data is one of the leading efforts in vehicle trajectory data collection from infrastructures that digitalizes comprehensive vehicle trajectories and traffic interactions to investigate traffic flow and enhance highway performance.
Traffic light optimization with low penetration rate vehicle trajectory data
Speaker: Prof. Henry Liu, Director of Mcity and Bruce D. Greenshields Collegiate Professor of Engineering at University of Michigan
Highlight: Recent study published in Nature Communications describes a system that utilizes vehicle trajectory data, gathered from internet-connected vehicles or navigation apps on drivers’ phones, to assist municipalities in adjusting traffic light timing. Only 6% of connected vehicles, leading to a 20% to 30% reduction in congestion and delays at intersections.
I-24 MOTION: An instrument for freeway traffic science
Speaker: Dr. Derek Gloudemans, Reserach Scientist at Vanderbilt University
Highlight: I-24 MOTION is one of the world’s largest freeway testbeds capable of continuously collecting large-scale vehicle trajectory data.
Your car is a data mine
Speaker: Prof. Jonathan Sprinkle, Professor at Vanderbilt University
Highlight: In 2022, Jonathan led the hardware team that enabled the largest coordinated driving experiment in history - 100 cars with customized ACC controllers—in Nashville, TN on I-24. In his career he has been a part of the following high-impact activities: Largest Open-road ACC test (2022), First Open-Road Demonstration of Adaptive Cruise Control string instabilities (2018), First traffic wave dampening with a single automated vehicle (2016), First model-based operation of an Autonomous Car by 4th Graders (2016), First model-based Full-sized Autonomous Car testbed (2012), Model-based Approaches in the DARPA Urban Challenge (2007), and First live Dogfighting of a full-scale UAV vs. an U.S. Air Force F-15 Piloted Jet (2004).
Organizers
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Junyi Ji | Xingmin Wang | Will Barbour | Rahul Bhadani |
Advisory committee
- Henry Liu, University of Michigan
- Dan Work, Vanderbilt University
- Jonathan Sprinkle, Vanderbilt University