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[HTML][HTML] Harnessing the power of Machine learning for AIS Data-Driven maritime Research: A comprehensive review
Abstract Automatic Identification System (AIS) data holds immense research value in the
maritime industry because of its massive scale and the ability to reveal the spatial–temporal …
maritime industry because of its massive scale and the ability to reveal the spatial–temporal …
The multidepot vehicle routing problem with intelligent recycling prices and transportation resource sharing
The increasing focus on environmental regulations and the economic advantages of
recycling has spurred interest in the design of multidepot reverse logistics networks …
recycling has spurred interest in the design of multidepot reverse logistics networks …
Integrating big data analytics in autonomous driving: An unsupervised hierarchical reinforcement learning approach
In the realm of autonomous vehicular systems, there has been a notable increase in end-to-
end algorithms designed for complete self-navigation. Researchers are increasingly …
end algorithms designed for complete self-navigation. Researchers are increasingly …
Multi-agent deep reinforcement learning collaborative traffic signal control method considering intersection heterogeneity
Abstract Traffic Signal Control (TSC) plays a crucial role in mitigating congestion. The
extensive integration of Deep Reinforcement Learning (DRL) into TSC, fueled by the …
extensive integration of Deep Reinforcement Learning (DRL) into TSC, fueled by the …
Enhancing state representation in multi-agent reinforcement learning for platoon-following models
With the growing prevalence of autonomous vehicles and the integration of intelligent and
connected technologies, the demand for effective and reliable vehicle speed control …
connected technologies, the demand for effective and reliable vehicle speed control …
[HTML][HTML] Deep knowledge distillation: A self-mutual learning framework for traffic prediction
Y Li, P Li, D Yan, Y Liu, Z Liu - Expert Systems with Applications, 2024 - Elsevier
Traffic flow prediction in spatio-temporal networks is a crucial aspect of Intelligent
Transportation Systems (ITS). Existing traffic flow forecasting methods, particularly those …
Transportation Systems (ITS). Existing traffic flow forecasting methods, particularly those …
Urban mobility foundation model: A literature review and hierarchical perspective
An urban mobility system serves as a highly intricate and nonlinear mega-system facilitating
the movement of people, goods, and services across spatio-temporal domains. This …
the movement of people, goods, and services across spatio-temporal domains. This …
Efficiency and equity analysis on parking reservation
R Chen, G Gao, LJ Kang, LY Zhang - Transportation Research Part E …, 2024 - Elsevier
Parking reservation, as an on-demand mobility service, can effectively address parking
challenges. This paper examines the efficiency and equity of three parking reservation …
challenges. This paper examines the efficiency and equity of three parking reservation …
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 …
Applying masked language model for transport mode choice behavior prediction
Transport mode choice behavior prediction is an important link in intelligent transportation
and travel services, allowing people to choose the transport mode that suits them based on …
and travel services, allowing people to choose the transport mode that suits them based on …