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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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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
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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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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A better understanding of long-range temporal dependence of traffic flow time series
Long-range temporal dependence is an important research perspective for modelling of traffic flow time series. Various methods have …
Shuo Feng, Xingmin Wang, Haowei Sun, Yi Zhang, Li Li
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