Short-term traffic flow prediction at isolated intersections based on parallel multi-task learning
Systems Science & Control EngineeringThis paper proposes a novel phase-based short-term traffic flow prediction method based on parallel multi-task learning for isolated intersections. Different from traditional short-term traffic flow prediction methods, we take the traffic flow of each ...
Bao-Lin Ye +3 more
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Short-term Traffic Flow Prediction Method in Bayesian Networks Based on Quantile Regression [PDF]
Promet (Zagreb), 2020 With the popularization of intelligent transportation system and Internet of vehicles, the traffic flow data on the urban road network can be more easily obtained in large quantities. This provides data support for shortterm traffic flow prediction based
Jing Luo
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Short-term Traffic Flow Prediction Based on Deep Learning Model [PDF]
E3S Web of Conferences, 2021 In order to improve the prediction accuracy of the intelligent transportation system and provide effective support for the dynamic control and guidance of the highway management department, with the goal of minimizing the short-term traffic flow ...
Ren Nv Er +3 more
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ITS-PRO-FLOW: A NEW ENHANCED SHORT-TERM TRAFFIC FLOW PREDICTION FOR INTELLIGENT TRANSPORTATION SYSTEMS [PDF]
Scientific Journal of Silesian University of Technology. Series Transport, 2023 Short-term traffic flow prediction plays a significant role in various applications of intelligent transportation systems (ITS), such as road traffic control and route guidance.
Halil Ibrahim KAZICI +2 more
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Short-term traffic flow prediction: An ensemble machine learning approach
Alexandria Engineering Journal, 2023 The inconvenience of travel, air pollution and consequent economic losses caused by traffic congestion have seriously restricted the healthy and sustainable development of cities in China.
Guowen Dai, Jinjun Tang, Wang Luo
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A Bidirectional Context-Aware and Multi-Scale Fusion Hybrid Network for Short-Term Traffic Flow Prediction [PDF]
Promet (Zagreb), 2022 Short-term traffic flow prediction is to automatically predict the traffic flow changes in a period of future time based on the extraction of the spatiotemporal features in the road network. For governments, timely and accurate traffic flow prediction is
Zhixing CHEN, Guizhou ZHENG
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Short-term Traffic Flow Prediction Using Artificial Intelligence with Periodic Clustering and Elected Set [PDF]
Promet (Zagreb), 2020 Forecasting short-term traffic flow using historical data is a difficult goal to achieve due to the randomness of the event. Due to the lack of a solid approach to short-term traffic prediction, the researchers are still working on novel approaches. This
Erdem Doğan
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Application effect of short-term traffic flow prediction method based on CNNBLSTM algorithm. [PDF]
PLoS ONEReduced forecast efficiency and accuracy are the result of traditional traffic flow prediction algorithms' inability to adequately capture the spatiotemporal characteristics and dynamic changes of traffic flow.
Guozhu Sui +5 more
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Hybrid LSTM Neural Network for Short-Term Traffic Flow Prediction [PDF]
Information, 2019 The existing short-term traffic flow prediction models fail to provide precise prediction results and consider the impact of different traffic conditions on the prediction results in an actual traffic network. To solve these problems, a hybrid Long Short–Term Memory (LSTM) neural network is proposed, based on the LSTM model.
Yuelei Xiao 0001, Yang Yin
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A Multiscale and High-Precision LSTM-GASVR Short-Term Traffic Flow Prediction Model
Complexity, 2020 Short-term traffic flow has the characteristics of complex, changeable, strong timeliness, and so on. So the traditional prediction algorithm is difficult to meet its high real-time and accuracy requirements.
Jingmei Zhou +3 more
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