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A review of machine learning approaches for electric vehicle energy consumption modelling in urban transportation
Global warming and carbon emissions have drawn attention to the need to decarbonize
transport. Promoting electric vehicles (EVs) has become an important strategy towards this …
transport. Promoting electric vehicles (EVs) has become an important strategy towards this …
[PDF][PDF] Harnessing AI for sustainable ship** and green ports: Challenges and opportunities
The maritime industry, responsible for moving approximately 90% of the world's goods,
significantly contributes to environmental pollution, accounting for around 2.5% of global …
significantly contributes to environmental pollution, accounting for around 2.5% of global …
Data-driven approach for port resilience evaluation
As pivotal nodes in international trade, ports have faced unprecedented challenges,
particularly in the context of the COVID-19 pandemic. From the perspective of port …
particularly in the context of the COVID-19 pandemic. From the perspective of port …
An exact algorithm for multiple-equipment integrated scheduling in an automated container terminal using a double-cycling strategy
The integrated scheduling of quay cranes, automated guided vehicles, and yard cranes is
key to achieving efficient performance for an automated container terminal. This paper …
key to achieving efficient performance for an automated container terminal. This paper …
From ports to routes: Extracting multi-scale ship** networks using massive AIS data
Maritime transportation is a critical component of global trade and commerce. To ensure
maritime safety, fixed ship** routing has been established in many complex waters …
maritime safety, fixed ship** routing has been established in many complex waters …
A survey of distance-based vessel trajectory clustering: Data pre-processing, methodologies, applications, and experimental evaluation
Vessel trajectory clustering, a crucial component of the maritime intelligent transportation
systems, provides valuable insights for applications such as anomaly detection and …
systems, provides valuable insights for applications such as anomaly detection and …
Turning the ships around: The Russia-Ukraine conflict reshapes the US LNG maritime transportation network
Energy exports are considered a form of power. Following the Russia-Ukraine conflict, the
US, as an emerging natural gas exporter, has strengthened energy transport with its allies …
US, as an emerging natural gas exporter, has strengthened energy transport with its allies …
Entire route eco-driving method for electric bus based on rule-based reinforcement learning
Electric bus (EB) has gradually become one of the main ways of transportation in cities due
to the low energy consumption and low pollutant emissions. As battery endurance is easily …
to the low energy consumption and low pollutant emissions. As battery endurance is easily …
Risk influencing factors on the consequence of waterborne transportation accidents in China (2013–2023) based on data-driven machine learning
W Qiao, E Huang, M Zhang, X Ma, D Liu - Reliability Engineering & System …, 2025 - Elsevier
Early warning on the basis of RIFs data is widely considered as an effective way to prevent
waterborne transportation accidents, and the performance of warning model is critical. To …
waterborne transportation accidents, and the performance of warning model is critical. To …
Traffic Flow Outlier Detection for Smart Mobility Using Gaussian Process Regression Assisted Stochastic Differential Equations
Current methods for detecting outliers in traffic streaming data often struggle to capture real-
time dynamic changes in traffic conditions and differentiate between genuine changes and …
time dynamic changes in traffic conditions and differentiate between genuine changes and …