Traffic flow prediction over muti-sensor data correlation with graph convolution network
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.11.032
Abstract: Abstract Accurate and real-time traffic flow prediction plays an important role in improving the traffic planning capability of intelligent traffic systems. However, traffic flow prediction is a very challenging problem because the spatial-temporal correlation among… read more here.
Keywords: traffic; traffic flow; correlation; flow prediction ... See more keywords
Traffic flow prediction based on combination of support vector machine and data denoising schemes
Sign Up to like & getrecommendations! Published in 2019 at "Physica A: Statistical Mechanics and its Applications"
DOI: 10.1016/j.physa.2019.03.007
Abstract: Abstract Traffic flow prediction with high accuracy is definitely considered as one of most important parts in the Intelligent Transportation Systems. As interfering by some external factors, the raw traffic flow data containing noise may… read more here.
Keywords: prediction performance; prediction; traffic; flow prediction ... See more keywords
Cash flow prediction optimization using dynamic programming for a residential photovoltaic system with storage battery
Sign Up to like & getrecommendations! Published in 2019 at "Solar Energy"
DOI: 10.1016/j.solener.2019.04.039
Abstract: Abstract This work presents a method and an algorithm for the management of the storage battery for a residential PV system. The method is intended to minimize the electricity bill with two different strategies: the… read more here.
Keywords: storage battery; battery; storage; cash flow ... See more keywords
Exploration and prediction of fluid dynamical systems using auto-encoder technology
Sign Up to like & getrecommendations! Published in 2020 at "Physics of Fluids"
DOI: 10.1063/5.0012906
Abstract: Machine-learning (ML) algorithms offer a new path for investigating high-dimensional, nonlinear problems, such as flow-dynamical systems. The development of ML methods, associated with the abundance of data and combined with fluid-dynamics knowledge, offers a unique… read more here.
Keywords: auto; neural networks; exploration prediction; dynamical systems ... See more keywords
A matrix factorization model with local and global consistency for flow prediction in bike-sharing systems
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2022.2103142
Abstract: Abstract With the increasing concerns about the environmental impact of motor vehicles, more cities are investing in Bike-Sharing Systems (BSSs) as an alternative mode of transport for their citizens. In such systems, predicting the fine-grained… read more here.
Keywords: bike sharing; flow prediction; sharing systems; flow ... See more keywords
Urban traffic flow prediction: a dynamic temporal graph network considering missing values
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2022.2146120
Abstract: Abstract Accurate traffic flow prediction on the urban road network is an indispensable function of Intelligent Transportation Systems (ITS), which is of great significance for urban traffic planning. However, the current traffic flow prediction methods… read more here.
Keywords: flow prediction; traffic; missing values; traffic flow ... See more keywords
T-LSTM: A Long Short-Term Memory Neural Network Enhanced by Temporal Information for Traffic Flow Prediction
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2929692
Abstract: Short-term traffic flow prediction is one of the most important issues in the field of intelligent transportation systems. It plays an important role in traffic information service and traffic guidance. However, complex traffic systems are… read more here.
Keywords: short term; traffic; flow prediction; traffic flow ... See more keywords
GCN-GAN: Integrating Graph Convolutional Network and Generative Adversarial Network for Traffic Flow Prediction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3204036
Abstract: As a necessary component in intelligent transportation systems (ITS), traffic flow-based prediction can accurately estimate the traffic flow in a certain period and area in the future. However, despite the success of traditional research and… read more here.
Keywords: flow prediction; traffic; network; traffic flow ... See more keywords
ASTCN: An Attentive Spatial–Temporal Convolutional Network for Flow Prediction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3100068
Abstract: Flow prediction attracts intensive research interests, since it can offer essential support to many crucial problems in public safety and smart city, e.g., epidemic spread prediction and medical resource allocation optimization. Among all the models… read more here.
Keywords: flow prediction; spatial temporal; prediction; network ... See more keywords
Spatial-Temporal Chebyshev Graph Neural Network for Traffic Flow Prediction in IoT-Based ITS
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3105446
Abstract: As one of the most widely used applications of the Internet of Things (IoT), intelligent transportation system (ITS) is of great significance for urban traffic planning, traffic control, and traffic guidance. However, widespread traffic congestion… read more here.
Keywords: flow prediction; traffic; spatial temporal; traffic flow ... See more keywords
Lane-Level Heterogeneous Traffic Flow Prediction: A Spatiotemporal Attention-Based Encoder–Decoder Model
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Intelligent Transportation Systems Magazine"
DOI: 10.1109/mits.2022.3224218
Abstract: Urban road traffic flow prediction is the key basis for the development of intelligent transportation systems. Lane-level heterogeneous traffic flow prediction will become a new and important challenge in the future development of intelligent transportation.… read more here.
Keywords: flow prediction; traffic; heterogeneous traffic; attention ... See more keywords