Publications (9)
Enabling Real-Time Phase Control in Traffic Signal Hardware-in-the-Loop Simulation
Zhiyao Zhang, Gergely Zachár, William Barbour +4
Advanced Traffic Signal Control (TSC) algorithms require real-time phase control, yet existing Hardware-in-the-Loop Simulation (HILS) testbeds only support pre-programmed timing pl…
Hierarchical Speed Planner for Automated Vehicles: A Framework for Lagrangian Variable Speed Limit in Mixed Autonomy Traffic
Han Wang, Zhe Fu, Jonathan Lee +14
This paper introduces a novel control framework for Lagrangian variable speed limits in hybrid traffic flow environments utilizing automated vehicles (AVs). The framework was valid…
Optimization of vaccination for COVID-19 in the midst of a pandemic
Qi Luo, Ryan Weightman, Sean T. McQuade +6
During the Covid-19 pandemic a key role is played by vaccination to combat the virus. There are many possible policies for prioritizing vaccines, and different criteria for optimiz…
Robust Tensor Recovery with Fiber Outliers for Traffic Events
Yue Hu, Dan Work
Event detection is gaining increasing attention in smart cities research. Large-scale mobility data serves as an important tool to uncover the dynamics of urban transportation syst…
SAILing CAVs: Speed-Adaptive Infrastructure-Linked Connected and Automated Vehicles
Matthew Nice, Matthew Bunting, George Gunter +3
This work demonstrates a new capability in roadway control: Speed-adaptive, infrastructure-linked connected and automated vehicles. We develop and deploy a lightly modified vehicle…
Streaming data preprocessing via online tensor recovery for large environmental sensor networks
Yue Hu, Ao Qu, Yanbing Wang +1
Measuring the built and natural environment at a fine-grained scale is now possible with low-cost urban environmental sensor networks. However, fine-grained city-scale data analysi…
Graph Convolutional Networks for traffic anomaly
Yue Hu, Ao Qu, Dan Work
Event detection has been an important task in transportation, whose task is to detect points in time when large events disrupts a large portion of the urban traffic network. Travel…
A Middle Way to Traffic Enlightenment
Matthew W. Nice, George Gunter, Junyi Ji +5
This paper introduces a novel approach that seeks a middle ground for traffic control in multi-lane congestion, where prevailing traffic speeds are too fast, and speed recommendati…
Enabling Mixed Autonomy Traffic Control
Matthew Nice, Matt Bunting, Alex Richardson +8
We demonstrate a new capability of automated vehicles: mixed autonomy traffic control. With this new capability, automated vehicles can shape the traffic flows composed of other no…