Traffic Signal

Inference of Signal Phase and Timing with Low Penetration Rate Vehicle Trajectories
We propose a suite of algorithm to estimate the signal phase and timing data for different types of controllers with low penetration rate vehicle trajectory data.
Xingmin Wang, Zihao Wang, Zachary Jerome, Henry Liu
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Inference of Signal Phase and Timing with Low Penetration Rate Vehicle Trajectories
A Signalized Intersection Performance Code Using Vehicle Trajectory Data
This paper presents a uniform method for evaluating intersection traffic congestion from vehicle trajectory observations through a Signalized Intersection Performance Code (SIPC) - a time-space diagram segmented based on the dynamics of queue formation and dissipation in response to traffic signal control.
Zachary Jerome, Xingmin Wang, Zihao Wang, Henry Liu
A Signalized Intersection Performance Code Using Vehicle Trajectory Data
OSaaS – Optimizing Traffic Signals as a Service
OSaaS is a data-driven traffic signal system that uses connected vehicle information to automatically improve traffic flow. Built on a new stochastic traffic flow model, OSaaS has been tested and deployed in real cities, showing up to 30% reductions in delays and stops. The work was published in Nature Communications and featured by major media including the Wall Street Journal, Associated Press, U-M News, and Local 4+ Detroit.
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OSaaS – Optimizing Traffic Signals as a Service
Traffic State Estimation and Uncertainty Quantification at Signalized Intersections with Low Penetration Rate Vehicle Trajectory Data
In this paper, we aim to answer one critical question - whether the available low penetration rate vehicle trajectory data is sufficient to estimate those unknown traffic states and parameters near signalized intersections.
Xingmin Wang, Zihao Wang, Zachary Jerome, Henry Liu
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Traffic State Estimation and Uncertainty Quantification at Signalized Intersections with Low Penetration Rate Vehicle Trajectory Data
Traffic light optimization with low penetration rate vehicle trajectory data
Traffic light optimization is known to be a cost-effective method for reducing congestion and energy consumption in urban areas without …
Xingmin Wang, Zachary Jerome, Zihao Wang, Chenhao Zhang, Shengyin Shen, Vivek Vijaya Kumar, Fan Bai, Paul Krajewski, Danielle Deneau, Ahmad Jawad, Rachel Jones, Gary Piotrowicz, Henry X. Liu
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Traffic light optimization with low penetration rate vehicle trajectory data
Field‐tested signal controller to mitigate spillover using trajectory data
Traffic congestion is a global pressing issue but can be mitigated via effective traffic signal control schemes. In this paper, based …
Yu Han, Zhe Han, Fan Ding, Fuliang Li, Hao Wang, Xingmin Wang
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Traffic signal control under stochastic traffic demand and vehicle turning via decentralized decomposition approaches
Traffic congestion is a global pressing issue but can be mitigated via effective traffic signal control schemes. In this paper, based …
Xinyu Fei, Xingmin Wang, Xian Yu, Yiheng Feng, Henry Liu, Siqian Shen, Yafeng Yin
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Distributed traffic signal control for large-scale traffic networks
The diverse and complex real-world network topology presents a significant challenge for network-level traffic control. My collaborators and I explored two distinct approaches 1) an optimization-based method and 2) a max-pressure-based control method. This research project is collaborated with Prof. Yafeng Yin, Prof. Yiheng Feng, and Prof. Siqian Shen.
Distributed traffic signal control for large-scale traffic networks
Learning the max pressure control for urban traffic networks considering the phase switching loss
Previous studies have shown that the max pressure control is a throughput-optimal policy that can stabilize the store-and-forward …
Xingmin Wang, Yafeng Yin, Yiheng Feng, Henry X Liu
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Learning the max pressure control for urban traffic networks considering the phase switching loss
Determining yellow change and clearance intervals for left-turning phases: evaluation of the current guidelines with connected vehicle data
In March 2020, the Institute of Transportation Engineers (ITE) published new guidelines for determining traffic signal change and …
Zachary Jerome, Xingmin Wang, Shengyin Shen, Henry X Liu
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