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pro vyhledávání: '"He, Brian"'
Understanding human mobility patterns has traditionally been a complex challenge in transportation modeling. Due to the difficulties in obtaining high-quality training datasets across diverse locations, conventional activity-based models and learning
Externí odkaz:
http://arxiv.org/abs/2409.17495
Accurate traffic prediction is vital for effective traffic management during hurricane evacuation. This paper proposes a predictive modeling system that integrates Multilayer Perceptron (MLP) and Long-Short Term Memory (LSTM) models to capture both l
Externí odkaz:
http://arxiv.org/abs/2406.12119
The diffusion of Electric Vehicles (EVs) plays a pivotal role in mitigating greenhouse gas emissions, particularly in the U.S., where ambitious zero-emission and carbon neutrality objectives have been set. In pursuit of these goals, many states have
Externí odkaz:
http://arxiv.org/abs/2405.17702
Human mobility plays a crucial role in transportation, urban planning, and public health. Advances in deep learning and the availability of diverse mobility data have transformed mobility modeling. However, existing deep learning models often focus o
Externí odkaz:
http://arxiv.org/abs/2405.17468
Human travel trajectory mining is crucial for transportation systems, enhancing route optimization, traffic management, and the study of human travel patterns. Previous rule-based approaches without the integration of semantic information show a limi
Externí odkaz:
http://arxiv.org/abs/2405.11715
Publikováno v:
In Journal of Chromatography Open May 2024 5
Publikováno v:
In Procedia Computer Science 2024 238:736-741
Publikováno v:
In Transportation Research Part A January 2024 179
Autor:
He, Brian Yueshuai, Zhou, Jinkai, Ma, Ziyi, Wang, Ding, Sha, Di, Lee, Mina, Chow, Joseph Y. J., Ozbay, Kaan
Publikováno v:
Transport Policy 101 (2021) 145-161
Evaluation of the demand for emerging transportation technologies and policies can vary by time of day due to spillbacks on roadways, rescheduling of travelers' activity patterns, and shifting to other modes that affect the level of congestion. These
Externí odkaz:
http://arxiv.org/abs/2008.04762
Publikováno v:
International Journal of Transportation Science & Technology 10(2) 197-211 (2021)
The COVID-19 pandemic has affected travel behaviors and transportation system operations, and cities are grappling with what policies can be effective for a phased reopening shaped by social distancing. A baseline model was previously developed and c
Externí odkaz:
http://arxiv.org/abs/2006.13368