Author: ScropTheOSAdventurer
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arXiv: OpenTwinMap: An Open-Source Digital Twin Generator for Urban Autonomous Driving
Authors Alex Richardson, Jonathan Sprinkle Abstract Digital twins of urban environments play a critical role in advancing autonomous vehicle (AV) research by enabling simulation, validation, and integration with emerging generative world models. While existing tools have demonstrated value, many publicly available solutions are tightly coupled to specific simulators, difficult to extend, or introduce significant technical Read more
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arXiv: Incorporating Ephemeral Traffic Waves in A Data-Driven Framework for Microsimulation in CARLA
Authors Alex Richardson, Azhar Hasan, Gabor Karsai, Jonathan Sprinkle Abstract This paper introduces a data-driven traffic microsimulation framework in CARLA that reconstructs real-world wave dynamics using high-fidelity time-space data from the I-24 MOTION testbed. Calibration of road networks in microsimulators to reproduce ephemeral phenomena such as traffic waves for large-scale simulation is a process that Read more
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Making Traffic Safer – CIRCLES 100 Car Experiment (Nashville, TN)
The rush that washed through me while carrying out this experiment with my team at Vanderbilt is unparalleled. We deployed ~100 cars on the Nashville I24 freeway during morning rush hour with a variety of cruise control solutions with the aim of making traffic faster and safer. Each of these 100 cars had their cruise Read more
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OpenTwinMap – Open-Source 3D Urban Map Generator for the Masses
https://github.com/jmscslgroup/OpenTwinMap In my work on simulating I24 for my lab, an immediate interest of mine is fully validating our CAN(Controller Area Network)/ROS-based Adaptive Cruise Control solutions in simulation before real world deployments and tests. Currently we test using telemetric files from real-world data collection, and testing our Libpanda/ROS solutions in a Dockerized form against those Read more
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New Revamped Website, New Beginnings
I constantly felt mired in confusion when I was in undergrad – about what worked, what didn’t, what I actually wanted. To be fair, as a tech nerd who grew up in Omaha and decided to do CS at University of Nebraska on a whim, it’s unsurprising in retrospect. At the time though, I just Read more
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ICCPS 2025 Poster: High-Level Scenario Management For Parallel Autonomous Vehicle Simulation
Authors Alex Richardson, Jonathan Sprinkle Abstract Autonomous Vehicle (AV) simulations are ubiquitous and crucial for offline analysis and development of AV solutions. However, deploying and utilizing simulation technology at scale is, in practice, a constant challenge – especially for independent researchers with limited resources. This is compounded by the fact that publicly available simulators are Read more
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Workshop on Design Automation for CPS and IoT: V2X-Enabled Communication for Traffic Operations via ROS
Authors Junyi Ji, Alex Richardson, Jonathan Sprinkle, Dan Work Summary The traffic system consists of vehicular components and road infrastructure across both cyber and physical layers. A key challenge in traffic operations is ensuring effective communication between vehicles and infrastructure. Vehicle data, sampled at around 1 Hz, captures detailed information at many locations but with Read more
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arXiv: Stop-and-go wave super-resolution reconstruction via iterative refinement
Authors Junyi Ji, Alex Richardson, Derek Gloudemans, Gergely Zachár, Matthew Nice, William Barbour, Jonathan Sprinkle, Benedetto Piccoli, Dan Work Abstract Stop-and-go waves are a fundamental phenomenon in freeway traffic flow, contributing to inefficiencies, crashes, and emissions. Recent advancements in high-fidelity sensor technologies have improved the ability to capture detailed traffic dynamics, yet such systems remain Read more
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IEEE Control Systems: Traffic control via connected and automated vehicles (cavs): An open-road field experiment with 100 cavs
Authors Jonathan W Lee, Han Wang, Kathy Jang, Nathan Lichtlé, Amaury Hayat, Matthew Bunting, Arwa Alanqary, William Barbour, Zhe Fu, Xiaoqian Gong, George Gunter, Sharon Hornstein, Abdul Rahman Kreidieh, Mat-Thew W Nice, William A Richardson (Alex Richardson), Adit Shah, Eugene Vinitsky, Fangyu Wu, Shengquan Xiang, Sulaiman Almatrudi, Fahd Althukair, Rahul Bhadani, Joy Carpio, Raphael Chekroun, Read more
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2024 IEEE IV: Reinforcement learning with communication latency with application to stop-and-go wave dissipation
https://ieeexplore.ieee.org/abstract/document/10588394 Authors Alex Richardson, Xia Wang, Abhishek Dubey, Jonathan Sprinkle Abstract In this work, we test the influence of several levels of communication and processing corresponding latency for traffic wave dissipation control. The approach uses Connected and Automated Vehicles (CAVs) that are controlled in simulation through reinforcement learning and non-reinforcement learning controllers, and compares their Read more