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Quantum annealing for industry applications: Introduction and review
Quantum annealing (QA) is a heuristic quantum optimization algorithm that can be used to
solve combinatorial optimization problems. In recent years, advances in quantum …
solve combinatorial optimization problems. In recent years, advances in quantum …
[HTML][HTML] Variable speed limit and ramp metering for mixed traffic flows: A review and open questions
The trend of increasing traffic demand is causing congestion on existing urban roads,
including urban motorways, resulting in a decrease in Level of Service (LoS) and safety, and …
including urban motorways, resulting in a decrease in Level of Service (LoS) and safety, and …
Sustainable traffic management for smart cities using internet-of-things-oriented intelligent transportation systems (ITS): challenges and recommendations
The emergence of smart cities has addressed many critical challenges associated with
conventional urbanization worldwide. However, sustainable traffic management in smart …
conventional urbanization worldwide. However, sustainable traffic management in smart …
RL/DRL meets vehicular task offloading using edge and vehicular cloudlet: A survey
The last two decades have seen a clear trend toward crafting intelligent vehicles based on
the significant advances in communication and computing paradigms, which provide a safer …
the significant advances in communication and computing paradigms, which provide a safer …
Spatial–temporal complex graph convolution network for traffic flow prediction
Traffic flow prediction remains an ongoing hot topic in the field of Intelligent Transportation
System. The state-of-the-art traffic flow prediction models can effectively extract both spatial …
System. The state-of-the-art traffic flow prediction models can effectively extract both spatial …
Urban flow prediction from spatiotemporal data using machine learning: A survey
Urban spatiotemporal flow prediction is of great importance to traffic management, land use,
public safety. This prediction task is affected by several complex and dynamic factors, such …
public safety. This prediction task is affected by several complex and dynamic factors, such …
Development of an efficient driving strategy for connected and automated vehicles at signalized intersections: A reinforcement learning approach
The concept of Connected and Automated Vehicles (CAVs) enables instant traffic
information to be shared among vehicle networks. With this newly proposed concept, a …
information to be shared among vehicle networks. With this newly proposed concept, a …
Artificial intelligence-based vehicular traffic flow prediction methods for supporting intelligent transportation systems
A Boukerche, Y Tao, P Sun - Computer networks, 2020 - Elsevier
In recent years, the Intelligent transportations system (ITS) has received considerable
attention, due to higher demands for road safety and efficiency in highly interconnected road …
attention, due to higher demands for road safety and efficiency in highly interconnected road …
Deep reinforcement learning for long‐term pavement maintenance planning
Inappropriate maintenance and rehabilitation strategies cause many problems such as
maintenance budget waste, ineffective pavement distress treatments, and so forth. A method …
maintenance budget waste, ineffective pavement distress treatments, and so forth. A method …
Social distancing in public transport: mobilising new technologies for demand management under the Covid-19 crisis
Dense urban areas are especially hardly hit by the Covid-19 crisis due to the limited
availability of public transport, one of the most efficient means of mass mobility. In light of the …
availability of public transport, one of the most efficient means of mass mobility. In light of the …