T-GCN: A temporal graph convolutional network for traffic prediction
Accurate and real-time traffic forecasting plays an important role in the intelligent traffic
system and is of great significance for urban traffic planning, traffic management, and traffic …
system and is of great significance for urban traffic planning, traffic management, and traffic …
Temporal multi-graph convolutional network for traffic flow prediction
M Lv, Z Hong, L Chen, T Chen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Traffic flow prediction plays an important role in ITS (Intelligent Transportation System). This
task is challenging due to the complex spatial and temporal correlations (eg, the constraints …
task is challenging due to the complex spatial and temporal correlations (eg, the constraints …
Temporal-spatial quantum graph convolutional neural network based on Schrödinger approach for traffic congestion prediction
Z Qu, X Liu, M Zheng - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Traffic congestion prediction (TCP) plays a vital role in intelligent transportation systems due
to its importance of traffic management. Methods for TCP have emerged greatly with the …
to its importance of traffic management. Methods for TCP have emerged greatly with the …
TBSM: A traffic burst-sensitive model for short-term prediction under special events
Traffic prediction is an important management tool for traffic guidance and control and an
effective decision-making tool to help travelers plan routes and avoid congested road …
effective decision-making tool to help travelers plan routes and avoid congested road …
Control and optimization algorithms for air transportation systems
H Balakrishnan - Annual Reviews in Control, 2016 - Elsevier
Modern air transportation systems are complex cyber-physical networks that are critical to
global travel and commerce. As the demand for air transport has grown, so have congestion …
global travel and commerce. As the demand for air transport has grown, so have congestion …
Spatial-temporal attention graph convolution network on edge cloud for traffic flow prediction
Accurate short-term traffic flow prediction plays an important role in providing road condition
information in the immediate future. With the information, intelligent vehicles can plan and …
information in the immediate future. With the information, intelligent vehicles can plan and …
Air traffic flow management under uncertainty using chance-constrained optimization
In order to efficiently balance traffic demand and capacity, optimization of Air Traffic Flow
Management (ATFM) relies on accurate predictions of future capacity states. However, these …
Management (ATFM) relies on accurate predictions of future capacity states. However, these …
Stgin: A spatial temporal graph-informer network for long sequence traffic speed forecasting
Accurate long series forecasting of traffic information is critical for the development of
intelligent traffic systems. We may benefit from the rapid growth of neural network analysis …
intelligent traffic systems. We may benefit from the rapid growth of neural network analysis …
An accelerated Benders decomposition algorithm for the integrated storage space assignment, berth allocation, and yard crane deployment problem
In this paper, storage space assignment problem, berth allocation problem, and yard crane
deployment problem are integrated with due attention to traffic congestion in the passing …
deployment problem are integrated with due attention to traffic congestion in the passing …
A network based dynamic air traffic flow model for en route airspace system traffic flow optimization
This study proposes a mesoscopic dynamic air traffic model based on a dynamic network for
en route airspaces by characterizing the dynamics and distribution of traffic speed. Based on …
en route airspaces by characterizing the dynamics and distribution of traffic speed. Based on …