Zobrazeno 1 - 10
of 400
pro vyhledávání: '"Ji, Junyi"'
Autor:
Ji, Junyi, Gloudemans, Derek, Wang, Yanbing, Zachár, Gergely, Barbour, William, Sprinkle, Jonathan, Piccoli, Benedetto, Work, Daniel B.
Analyzing stop-and-go waves at the scale of miles and hours of data is an emerging challenge in traffic research. In the past, datasets were of limited scale and could be easily analyzed by hand or with rudimentary methods to identify a very limited
Externí odkaz:
http://arxiv.org/abs/2409.00326
Autor:
Ji, Junyi, Richardson, Alex, Gloudemans, Derek, Zachár, Gergely, Nice, Matthew, Barbour, William, Sprinkle, Jonathan, Piccoli, Benedetto, Work, Daniel B.
Stop-and-go waves are a fundamental phenomenon in freeway traffic flow, contributing to inefficiencies, crashes, and emissions. Recent advancements in high-fidelity sensor technologies have improved the ability to capture detailed traffic dynamics, y
Externí odkaz:
http://arxiv.org/abs/2408.00941
Recent studies highlight the scientific importance and broad application prospects of two-dimensional (2D) sliding ferroelectrics, which prevalently exhibit vertical polarization with suitable stackings. It is crucial to understand the mechanisms of
Externí odkaz:
http://arxiv.org/abs/2407.15081
Autor:
Coursey, Austin, Ji, Junyi, Quinones-Grueiro, Marcos, Barbour, William, Zhang, Yuhang, Derr, Tyler, Biswas, Gautam, Work, Daniel B.
Early and accurate detection of anomalous events on the freeway, such as accidents, can improve emergency response and clearance. However, existing delays and errors in event identification and reporting make it a difficult problem to solve. Current
Externí odkaz:
http://arxiv.org/abs/2406.15283
Traditional ferroelectrics are limited by Neumann's principle, which confines exploration of ferroelectrics within polar point groups. Our recent work [Nat. Commun. 15, 135, (2024)] proposes the concept of fractional quantum ferroelectricity (FQFE) t
Externí odkaz:
http://arxiv.org/abs/2404.19152
Autor:
Lee, Jonathan W., Wang, Han, Jang, Kathy, Hayat, Amaury, Bunting, Matthew, Alanqary, Arwa, Barbour, William, Fu, Zhe, Gong, Xiaoqian, Gunter, George, Hornstein, Sharon, Kreidieh, Abdul Rahman, Lichtlé, Nathan, Nice, Matthew W., Richardson, William A., Shah, Adit, Vinitsky, Eugene, Wu, Fangyu, Xiang, Shengquan, Almatrudi, Sulaiman, Althukair, Fahd, Bhadani, Rahul, Carpio, Joy, Chekroun, Raphael, Cheng, Eric, Chiri, Maria Teresa, Chou, Fang-Chieh, Delorenzo, Ryan, Gibson, Marsalis, Gloudemans, Derek, Gollakota, Anish, Ji, Junyi, Keimer, Alexander, Khoudari, Nour, Mahmood, Malaika, Mahmood, Mikail, Matin, Hossein Nick Zinat, Mcquade, Sean, Ramadan, Rabie, Urieli, Daniel, Wang, Xia, Wang, Yanbing, Xu, Rita, Yao, Mengsha, You, Yiling, Zachár, Gergely, Zhao, Yibo, Ameli, Mostafa, Baig, Mirza Najamuddin, Bhaskaran, Sarah, Butts, Kenneth, Gowda, Manasi, Janssen, Caroline, Lee, John, Pedersen, Liam, Wagner, Riley, Zhang, Zimo, Zhou, Chang, Work, Daniel B., Seibold, Benjamin, Sprinkle, Jonathan, Piccoli, Benedetto, Monache, Maria Laura Delle, Bayen, Alexandre M.
The CIRCLES project aims to reduce instabilities in traffic flow, which are naturally occurring phenomena due to human driving behavior. These "phantom jams" or "stop-and-go waves,"are a significant source of wasted energy. Toward this goal, the CIRC
Externí odkaz:
http://arxiv.org/abs/2402.17043
Autor:
Nice, Matthew W., Gunter, George, Ji, Junyi, Zhang, Yuhang, Bunting, Matthew, Barbour, Will, Sprinkle, Jonathan, Work, Dan
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 recommendations designed to dampen traffic waves are too slow. Advanced controller
Externí odkaz:
http://arxiv.org/abs/2401.15818
The main objective of the connected and automated vehicle (CAV) platoon control problem is to regulate CAVs' position while ensuring stability and accounting for vehicle dynamics. Although this problem has been studied in the literature, existing res
Externí odkaz:
http://arxiv.org/abs/2401.13552
Autor:
Ji, Junyi, Wang, Yanbing, Gloudemans, Derek, Zachár, Gergely, Barbour, William, Work, Daniel B.
This article introduces a new virtual trajectory dataset derived from the I-24 MOTION INCEPTION v1.0.0 dataset to address challenges in analyzing large but noisy trajectory datasets. Building on the concept of virtual trajectories, we provide a Pytho
Externí odkaz:
http://arxiv.org/abs/2311.10888
Multi-object tracking (MOT) or global data association problem is commonly approached as a minimum-cost-flow or minimum-cost-circulation problem on a graph. While there have been numerous studies aimed at enhancing algorithm efficiency, most of them
Externí odkaz:
http://arxiv.org/abs/2311.04749