A predictive analytics method for maritime traffic flow complexity estimation in inland waterways

M Zhang, D Zhang, S Fu, P Kujala, S Hirdaris - Reliability Engineering & …, 2022 - Elsevier
Maritime traffic flow complexity is the factor that presents in most existing maritime safety
analysis methods. It is considered as one of the main influencing factors affecting maritime …

Exploring the vulnerability of transportation networks by entropy: A case study of Asia–Europe maritime transportation network

T Wen, Q Gao, Y Chen, KH Cheong - Reliability Engineering & System …, 2022 - Elsevier
With the rise of global trade, maritime transportation networks have become an
indispensable element of logistics networks. Approximately 80% of the global trade volume …

Trajectory tracking of autonomous vehicle based on model predictive control with PID feedback

D Chu, H Li, C Zhao, T Zhou - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
The simplified vehicle model often results in inaccuracy with respect to the conventional
model predictive control (MPC) as it causes steady error in tracking control, which has …

Resilience model and recovery strategy of transportation network based on travel OD-grid analysis

X Pan, Y Dang, H Wang, D Hong, Y Li… - Reliability Engineering & …, 2022 - Elsevier
Transportation is the key to a city's prosperity, however, there is possibility that the
development and expansion of city make the transportation system complicated, uncertain …

Exploring cascading reliability of multi-modal public transit network based on complex networks

L Zhang, H Wen, J Lu, D Lei, S Li… - Reliability Engineering & …, 2022 - Elsevier
Previous studies had focused on cascading failures of urban rail transit network (URTN) or
bus transit network (BTN) while ignoring their coupling performances against cascading …

[PDF][PDF] 基于自筛选深度学习的滑坡易发性预测建模及其可解释性

黄发明, 陈彬, 毛达雄, 刘乐开, 张子荷, 朱莉 - 地球科学, 2023 - researchgate.net
针对滑坡易发性预测建模中滑坡-非滑坡样本可能存在误差, 环境因子间非线性关系较复杂且
机器学习可解释性未被关注等重要问题, 拟提出一种基于自筛选的双向长短时记忆网络与条件随 …

CSF-GTNet: A novel multi-dimensional feature fusion network based on Convnext-GeLU-BiLSTM for EEG-signals-enabled fatigue driving detection

D Gao, P Li, M Wang, Y Liang, S Liu… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Electroencephalography (EEG) signal has been recognized as an effective fatigue detection
method, which can intuitively reflect the drivers' mental state. However, the research on multi …

[HTML][HTML] Research on anomaly detection and real-time reliability evaluation with the log of cloud platform

B Wang, Q Hua, H Zhang, X Tan, Y Nan, R Chen… - Alexandria Engineering …, 2022 - Elsevier
With the development of software, massive information systems generate large-scale data
resources involving a large amount of log information, which is of lots of meaningful …

Bridging strategy for the disruption of metro considering the reliability of transportation system: Metro and conventional bus network

S Zheng, Y Liu, Y Lin, Q Wang, H Yang… - Reliability Engineering & …, 2022 - Elsevier
With the frequent occurrence of metro disruption, how to guarantee the reliability of the
system has gradually become a research hotspot. Previous studies mostly used the bridging …

Lane information extraction for high definition maps using crowdsourced data

J Zhou, Y Guo, Y Bian, Y Huang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Lane information plays an important role in high-definition (HD) maps because it provides
invaluable road information for autonomous vehicles. The most widely used lane extraction …