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Weiyi Zhou
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Human mobility trends during the early stage of the COVID-19 pandemic in the United States
M Lee, J Zhao, Q Sun, Y Pan, W Zhou, C Xiong, L Zhang
PloS one 15 (11), e0241468, 2020
1572020
Observed mobility behavior data reveal social distancing inertia
S Ghader, J Zhao, M Lee, W Zhou, G Zhao, L Zhang
arXiv preprint arXiv:2004.14748, 2020
372020
Q-learning-based coordinated variable speed limit and hard shoulder running control strategy to reduce travel time at freeway corridor
W Zhou, M Yang, M Lee, L Zhang
Transportation Research Record 2674 (11), 915-925, 2020
192020
COVID-19 and income profile: How people in different income groups responded to disease outbreak, case study of the United States
Q Sun, W Zhou, A Kabiri, A Darzi, S Hu, H Younes, L Zhang
arXiv preprint arXiv:2007.02160, 2020
162020
An integrated modeling framework for active traffic management and its applications in the Washington, DC area
C Xiong, XT Yang, L Zhang, M Lee, W Zhou, M Raqib
Journal of intelligent transportation systems 25 (6), 609-625, 2021
132021
Quantifying the influence of inter-county mobility patterns on the COVID-19 outbreak in the United States
Q Sun, Y Pan, W Zhou, C Xiong, L Zhang
arXiv preprint arXiv:2006.13860, 2020
82020
How different age groups responded to the COVID-19 pandemic in terms of mobility behaviors: A case study of the United States
A Kabiri, A Darzi, W Zhou, Q Sun, L Zhang
arXiv preprint arXiv:2007.10436, 2020
42020
COVID‐19 and income profile: How communities in the United States responded to mobility restrictions in the pandemic's early stages
Q Sun, W Zhou, A Kabiri, A Darzi, S Hu, H Younes, L Zhang
Regional Science Policy & Practice 15 (3), 541-559, 2023
32023
An Interstate Trips Analysis during COVID-19 in the United States
W Zhou, M Lee, Q Sun, W Luo, C Xiong, L Zhang
arXiv preprint arXiv:2007.02020, 2020
22020
Analyzing simulation-based active traffic management impact on a large-scale regional network
M Lee, C Xiong, Z Zhu, W Zhou, L Zhang
Transportation Research Record 2673 (8), 638-647, 2019
22019
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