Trajectory Data

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
SSRN
Inference of Signal Phase and Timing with Low Penetration Rate Vehicle Trajectories
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
PDF arXiv
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
Trajectory Data Processing and Mobility Performance Evaluation for Urban Traffic Networks
With the rapid development and deployment of vehicle sensing and communication technology, vehicle trajectory data is becoming …
Xingmin Wang, Zachary Jerome, Chenhao Zhang, Shengyin Shen, Vivek Vijaya Kumar, Henry X Liu
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Trajectory Data Processing and Mobility Performance Evaluation for Urban Traffic Networks
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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Data infrastructure for connected vehicle applications
Ann Arbor Connected Vehicle Test Environment (AACVTE) is the world’s largest operational, real-world deployment of connected vehicles …
Xingmin Wang, Shengyin Shen, Debra Bezzina, James R Sayer, Henry X Liu, Yiheng Feng
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Estimation of queue lengths, probe vehicle penetration rates, and traffic volumes at signalized intersections using probe vehicle trajectories
With the development of connected vehicle technologies and the emergence of e-hailing services, a vast amount of vehicle trajectory …
Yan Zhao, Jianfeng Zheng, Wai Wong, Xingmin Wang, Yuan Meng, Henry X Liu
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Various methods for queue length and traffic volume estimation using probe vehicle trajectories
The rapid development of connected vehicle technology and the emergence of ride-hailing services have enabled the collection of a …
Yan Zhao, Jianfeng Zheng, Wai Wong, Xingmin Wang, Yuan Meng, Henry X Liu
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