Results 21 to 30 of about 361,441 (286)
Complexity, 2021 Short-term traffic flow prediction is an effective means for intelligent transportation system (ITS) to mitigate traffic congestion. However, traffic flow data with temporal features and periodic characteristics are vulnerable to weather effects, making ...
Yue Hou, Zhiyuan Deng, Hanke Cui
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Road occupancy prediction of traffic participants [PDF]
16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013), 2013 We predict the road occupancy of traffic participants for collision avoidance systems. The occupancy sets are computed for consecutive time intervals and contain all reachable positions of traffic participants in compliance with a proposed dynamic model.
Matthias Althoff +2 more
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Truck Traffic Flow Prediction Based on LSTM and GRU Methods With Sampled GPS Data
IEEE Access, 2020 Given the enormous traffic issues, such as congestion and crashes, resulting from the conflicts between trucks and passenger cars, an accurate and reliable prediction of truck traffic flow is needed to enhance the traffic flow efficiency and safety in ...
Shengyou Wang +4 more
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Attention-Based Gated Recurrent Graph Convolutional Network for Short-Term Traffic Flow Forecasting
Journal of Mathematics, 2023 Traffic flow prediction is the basis of dynamic strategies and applications of intelligent transportation systems (ITS). Accurate traffic flow prediction is of great practical significance in alleviating road congestion and reducing urban road traffic ...
Ping Lou +4 more
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Augmentation of Deep Learning Models for Multistep Traffic Speed Prediction
Applied Sciences, 2022 Traffic speed prediction is a vital part of the intelligent transportation system (ITS). Predicting accurate traffic speed is becoming an important and challenging task with the rapid development of deep learning and increasing traffic data size. In this
Adnan Riaz +7 more
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Assessing spatiotemporal correlations from data for short-term traffic prediction using multi-task learning [PDF]
, 2018 Traffic flow prediction is a fundamental problem for efficient transportation control and management. However, most current data-driven traffic prediction work found in the literature have focused on predicting traffic from an individual task perspective,
Casas Vilaró, Jordi +2 more
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Digital Communications and Networks, 2022 Traffic flow prediction is an important part of the intelligent transportation system. Accurate multi-step traffic flow prediction plays an important role in improving the operational efficiency of the traffic network. Since traffic flow data has complex
Jihua Ye, Shengjun Xue, Aiwen Jiang
doaj +1 more source
Integrating Pattern Features to Sequence Model for Traffic Index Prediction
International Journal of Computational Intelligence Systems, 2021 Intelligent traffic system (ITS) is one of the effective ways to solve the problem of traffic congestion. As an important part of ITS, traffic index prediction is the key of traffic guidance and traffic control.
Yueying Zhang +4 more
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Apparatus and method for congestion control in high speed networks [PDF]
, 2004 An adjustable bit rate (ABR) feedback control scheme is provided where the effects of multiloop delays and high priority traffic transmission are built into the control model. The data traffic is filtered by a low pass filter.
Li, San-Qi, Sigarto, Samuel
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On learning to predict Web traffic
Decision Support Systems, 2003 The ease of collecting data about customers through the Internet has facilitated the process of developing large repositories of data. These data can and do contain patterns that are useful for the decision maker. Knowledge discovery and data mining methods have been widely used to extract these patterns.
Decision and Information Sciences, University of Florida STZ, Gainesville, FL 32611-7169, USA ( host institution ) +1 more
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