A bibliometric analysis and review on reinforcement learning for transportation applications
Transportation is the backbone of the economy and urban development. Improving the
efficiency, sustainability, resilience, and intelligence of transportation systems is critical and …
efficiency, sustainability, resilience, and intelligence of transportation systems is critical and …
Transformer-based map-matching model with limited labeled data using transfer-learning approach
In many spatial trajectory-based applications, it is necessary to map raw trajectory data
points onto road networks in digital maps, which is commonly referred to as a map-matching …
points onto road networks in digital maps, which is commonly referred to as a map-matching …
Optimizing gate control coordination signal for urban traffic network boundaries using multi-agent deep reinforcement learning
L Kang, H Huang, W Lu, L Liu - Expert Systems with Applications, 2024 - Elsevier
The macro-aggregated dynamic characteristics of urban network traffic flow encapsulated
embodied in macroscopic fundamental diagram theory provide a concise perspective for …
embodied in macroscopic fundamental diagram theory provide a concise perspective for …
guided deep reinforcement learning for coordinated ramp metering and perimeter control in large scale networks
Z Hu, W Ma - Transportation research part C: emerging technologies, 2024 - Elsevier
Effective traffic control methods have great potential in alleviating network congestion.
Particularly, in an urban network consisting of heterogeneous roads (eg, freeways and …
Particularly, in an urban network consisting of heterogeneous roads (eg, freeways and …
Methodology to increase flexibility in inter-region flow control for urban traffic
Perimeter control is used to regulate transfer flows between urban regions. The greedy
control (GC) method takes either the minimum or the maximum for the control inputs …
control (GC) method takes either the minimum or the maximum for the control inputs …
Fixing traffic in Zurich: a data-driven control approach
A Rimoldi - 2023 - research-collection.ethz.ch
Perimeter control based on the Macroscopic Fundamental Diagram is a well established
paradigm in the field of urban traffic control. The optimization problem aims at maximizing …
paradigm in the field of urban traffic control. The optimization problem aims at maximizing …
Switched Perimeter Control for Two-Region Urban Traffic Networks with Dynamic Macroscopic Fundamental Diagrams
R Fang, C Yin, S Jin, K Zhang - 2021 China Automation …, 2021 - ieeexplore.ieee.org
Macroscopic fundamental diagrams (MFD) in a homogeneous urban road network are
extended to dynamic ones for two regions constituting this network, and a novel perimeter …
extended to dynamic ones for two regions constituting this network, and a novel perimeter …