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Yang Cheng - IEEE Xplore Author Profile
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Yang Cheng

Publications
6
Citations
111
Publications by Year
20172024
Co-Authors:
Show All Co-Authors (18)
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Yang Cheng

Affiliation

Department of Civil and Environmental Engineering
University of Wisconsin-Madison
Madison, WI, USA

Publication Topics

Biography

Yang Cheng received the B.S. and M.S. degrees in automation from Tsinghua University, Beijing, China, in 2004 and 2006, respectively, and the Ph.D. degree in civil engineering from the University of Wisconsin-Madison, Madison, WI, USA, in 2011. He is currently a Scientist with the Wisconsin Traffic Operations and Safety (TOPS), Laboratory of the University of Wisconsin-Madison.(Based on document published on 23 October 2023).
Publications
6
Citations
111
Publications by Year
20172024
Co-Authors:
Show All Co-Authors (18)
Author's Published Works

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How Does C-V2X Perform in Urban Environments? Results From Real-World Experiments on Urban Arterials

Pei Li;Keshu Wu;Yang Cheng;Steven T. Parker;David A. Noyce

IEEE Transactions on Intelligent Vehicles
Year: 2024 | Volume: 9, Issue: 1 | Journal Article |
Cited by: Papers (5)
Cellular vehicle-to-everything (C-V2X) is an emerging technology that has the potential to significantly improve traffic safety and efficiency through various applications such as pedestrian alerts, traffic hazard warnings, signal timing information broadcasting, etc. With the help of the Federal Communications Commission's agreement to waive restrictive rules on C-V2X deployment, extensive real-w...Show More

How Does C-V2X Perform in Urban Environments? Results From Real-World Experiments on Urban Arterials

Pei Li;Keshu Wu;Yang Cheng;Steven T. Parker;David A. Noyce

Year: 2024 | Volume: 9, Issue: 1 | Journal Article |

Integrated Schedule and Trajectory Optimization for Connected Automated Vehicles in a Conflict Zone

Zhihong Yao;Haoran Jiang;Yang Cheng;Yangsheng Jiang;Bin Ran

IEEE Transactions on Intelligent Transportation Systems
Year: 2022 | Volume: 23, Issue: 3 | Journal Article |
Cited by: Papers (76)
The large-scale application of connected automated vehicles (CAVs) provides new opportunities and challenges for the optimization and management of traffic conflict zones. To improve the traffic efficiency of conflict zones and reduce the travel delay and fuel consumption of CAVs, this paper presents a two-level optimization method of scheduling and trajectory planning for CAVs. At the first level...Show More

Integrated Schedule and Trajectory Optimization for Connected Automated Vehicles in a Conflict Zone

Zhihong Yao;Haoran Jiang;Yang Cheng;Yangsheng Jiang;Bin Ran

Year: 2022 | Volume: 23, Issue: 3 | Journal Article |

A Feature-Based Approach to Large-Scale Freeway Congestion Detection Using Full Cellular Activity Data

Shen Li;Yang Cheng;Peter Jin;Fan Ding;Qing Li;Bin Ran

IEEE Transactions on Intelligent Transportation Systems
Year: 2022 | Volume: 23, Issue: 2 | Journal Article |
Cited by: Papers (4)
Most existing cellular probe-based freeway congestion detection methods rely on on-call WLT (Wireless Location Technologies) signal transition data. However, these techniques facing difficulties such as small sample size, frequent road tests, safety, and privacy issues. This article presents a novel approach using the FCA data for traffic congestion detection on freeways. Two cellular activity fea...Show More

A Feature-Based Approach to Large-Scale Freeway Congestion Detection Using Full Cellular Activity Data

Shen Li;Yang Cheng;Peter Jin;Fan Ding;Qing Li;Bin Ran

Year: 2022 | Volume: 23, Issue: 2 | Journal Article |

Intersection Congestion Analysis Based on Cellular Activity Data

Shen Li;Guofa Li;Yang Cheng;Bin Ran

IEEE Access
Year: 2020 | Volume: 8 | Journal Article |
Cited by: Papers (4)
Intersections are the key joint points on arterials in urban transportation networks. Congestions at intersection areas significantly degrade human travel efficiency. Therefore, analyzing congestion and exploring congestion detection technologies to mitigate intersection congestions is important for intelligent transportation systems. This paper proposed the space mean speed calculation method at ...Show More

Intersection Congestion Analysis Based on Cellular Activity Data

Shen Li;Guofa Li;Yang Cheng;Bin Ran

Year: 2020 | Volume: 8 | Journal Article |

Methods for Multi-Type Sensor Allocations Along a Freeway Corridor

Fengping Zhan;Xia Wan;Yang Cheng;Bin Ran

IEEE Intelligent Transportation Systems Magazine
Year: 2018 | Volume: 10, Issue: 2 | Magazine Article |
Cited by: Papers (19)
Existing layouts of sensors on freeways usually have room for improvement. The optimal allocation of multi-type sensors could increase the accuracy and coverage of data acquisition for traffic control and management. This paper aims to explore the appropriate method to solve the multi-type sensor allocation problem on freeways. Two types of sensors, the micro-loop sensor and the microwave sensor, ...Show More

Methods for Multi-Type Sensor Allocations Along a Freeway Corridor

Fengping Zhan;Xia Wan;Yang Cheng;Bin Ran

Year: 2018 | Volume: 10, Issue: 2 | Magazine Article |

A Method to Monitor Railway Tracks' Foreign Body Invasion Based on Phase Sensitive Optical Fiber Sensing Technology

Junrong Qu;Yongsheng Liu;Jian Zhang;Yang Cheng

2017 International Conference on Smart Grid and Electrical Automation (ICSGEA)
Year: 2017 | Conference Paper |
Cited by: Papers (3)
A new method based on phase-sensitive optical fiber sensing technology (Φ-OTDR) is presented in this paper. The method first uses Φ-OTDR to acquire the original signal of railway tracks vibration for a while, then conducts filtering, short-time Fourier transform and auto-regressive model spectrum estimation of the original signal, After analyzing the frequency signal feature, we can determine whet...Show More

A Method to Monitor Railway Tracks' Foreign Body Invasion Based on Phase Sensitive Optical Fiber Sensing Technology

Junrong Qu;Yongsheng Liu;Jian Zhang;Yang Cheng

Year: 2017 | Conference Paper |

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