Zobrazeno 1 - 10
of 2 773
pro vyhledávání: '"A. Zachar"'
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
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:
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
Autor:
Nice, Matthew, Bunting, Matt, Richardson, Alex, Zachar, Gergely, Lee, Jonathan W., Bayen, Alexandre, Monache, Maria Laura Delle, Seibold, Benjamin, Piccoli, Benedetto, Sprinkle, Jonathan, Work, Dan
We demonstrate a new capability of automated vehicles: mixed autonomy traffic control. With this new capability, automated vehicles can shape the traffic flows composed of other non-automated vehicles, which has the promise to improve safety, efficie
Externí odkaz:
http://arxiv.org/abs/2310.18776
Autor:
Hayat, Amaury, Alanqary, Arwa, Bhadani, Rahul, Denaro, Christopher, Weightman, Ryan J., Xiang, Shengquan, Lee, Jonathan W., Bunting, Matthew, Gollakota, Anish, Nice, Matthew W., Gloudemans, Derek, Zachar, Gergely, Davis, Jon F., Monache, Maria Laura Delle, Seibold, Benjamin, Bayen, Alexandre M., Sprinkle, Jonathan, Work, Daniel B., Piccoli, Benedetto
The dissipation of stop-and-go waves attracted recent attention as a traffic management problem, which can be efficiently addressed by automated driving. As part of the 100 automated vehicles experiment named MegaVanderTest, feedback controls were us
Externí odkaz:
http://arxiv.org/abs/2310.18151
Autor:
Gloudemans, Derek, Zachár, Gergely, Wang, Yanbing, Ji, Junyi, Nice, Matt, Bunting, Matt, Barbour, William, Sprinkle, Jonathan, Piccoli, Benedetto, Monache, Maria Laura Delle, Bayen, Alexandre, Seibold, Benjamin, Work, Daniel B.
This work introduces a multi-camera tracking dataset consisting of 234 hours of video data recorded concurrently from 234 overlapping HD cameras covering a 4.2 mile stretch of 8-10 lane interstate highway near Nashville, TN. The video is recorded dur
Externí odkaz:
http://arxiv.org/abs/2309.07268
The Interstate-24 MObility Technology Interstate Observation Network (I-24 MOTION) is a new instrument for traffic science located near Nashville, Tennessee. I-24 MOTION consists of 276 pole-mounted high-resolution traffic cameras that provide seamle
Externí odkaz:
http://arxiv.org/abs/2301.11198
Autor:
Wang, Yanbing, Gloudemans, Derek, Ji, Junyi, Teoh, Zi Nean, Liu, Lisa, Zachár, Gergely, Barbour, William, Work, Daniel
In this paper we propose an automatic trajectory data reconciliation to correct common errors in vision-based vehicle trajectory data. Given "raw" vehicle detection and tracking information from automatic video processing algorithms, we propose a pip
Externí odkaz:
http://arxiv.org/abs/2212.07907
Autor:
Párničanová, Alena1 (AUTHOR) xparnicanova@is.tuzvo.sk, Zachar, Martin1 (AUTHOR), Kačíková, Danica1 (AUTHOR)
Publikováno v:
Polymers (20734360). Sep2024, Vol. 16 Issue 18, p2657. 11p.
