Results 21 to 30 of about 211,137 (291)
A Hybrid Deep Learning Framework for Long-Term Traffic Flow Prediction
IEEE Access, 2021 An accurate and reliable traffic flow prediction is of great significance, especially the long-term traffic flow prediction e.g., 24 hours, which can help the traffic decision-makers formulate the future traffic management strategy.
Yiqun Li +3 more
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Revisiting Flow Information for Traffic Prediction
CoRR, 2019 Traffic prediction is a fundamental task in many real applications, which aims to predict the future traffic volume in any region of a city. In essence, traffic volume in a region is the aggregation of traffic flows from/to the region. However, existing traffic prediction methods focus on modeling complex spatiotemporal traffic correlations and ...
Xian Zhou 0003 +2 more
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Prediction of Traffic Flow via Connected Vehicles [PDF]
IEEE Transactions on Mobile Computing, 2020 We propose a Short-term Traffic flow Prediction (STP) framework so that transportation authorities take early actions to control flow and prevent congestion. We anticipate flow at future time frames on a target road segment based on historical flow data and innovative features such as real time feeds and trajectory data provided by Connected Vehicles ...
Ranwa Al Mallah +2 more
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IEEE Access, 2019 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.
Luntian Mou +3 more
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Effect of Time Intervals on K-nearest Neighbors Model for Short-term Traffic Flow Prediction
Promet (Zagreb), 2019 The accuracy and reliability in predicting short-term traffic flow is important. The K-nearest neighbors (K-NN) approach has been widely used as a nonparametric model for traffic flow prediction.
Zhao Liu +6 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
core +2 more sources
Complexity, 2021 Traffic flow prediction plays an important role in intelligent transportation system (ITS). However, due to the randomness and complex periodicity of traffic flow data, traditional prediction models often fail to achieve good results.
Yang Yu, Qiang Shang, Tian Xie
doaj +1 more source
A Deep Learning Approach for Short-Term Airport Traffic Flow Prediction
Aerospace, 2021 Airport traffic flow prediction is a fundamental research topic in the field of air traffic flow management. Most existing works focus on the single airport traffic flow prediction with temporal dynamics but fail to consider the influence of the ...
Zhen Yan, Hongyu Yang, Fan Li, Yi Lin
doaj +1 more source
Calibration of traffic flow models under adverse weather and application in mesoscopic network simulation [PDF]
, 2013 The weather-sensitive traffic estimation and prediction system (TrEPS) aims for accurate estimation and prediction of the traffic states under inclement weather conditions.
Alfelor, Roemer M. +4 more
core +1 more source
Counterfactual Graph Transformer for Traffic Flow Prediction
2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 2023 Traffic flow prediction (TFP) is a fundamental problem of the Intelligent Transportation System (ITS), as it models the latent spatial-temporal dependency of traffic flow for potential congestion prediction. Recent graph-based models with multiple kinds of attention mechanisms have achieved promising performance.
Ying Yang +3 more
openaire +2 more sources