Short-term traffic forecasting: Where we are and where we're going
EI Vlahogianni, MG Karlaftis, JC Golias - Transportation Research Part C …, 2014 - Elsevier
Since the early 1980s, short-term traffic forecasting has been an integral part of most
Intelligent Transportation Systems (ITS) research and applications; most effort has gone into …
Intelligent Transportation Systems (ITS) research and applications; most effort has gone into …
Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework
Deep learning approaches have reached a celebrity status in artificial intelligence field, its
success have mostly relied on Convolutional Networks (CNN) and Recurrent Networks. By …
success have mostly relied on Convolutional Networks (CNN) and Recurrent Networks. By …
A spatiotemporal deep learning approach for citywide short-term crash risk prediction with multi-source data
The primary objective of this study is to investigate how the deep learning approach
contributes to citywide short-term crash risk prediction by leveraging multi-source datasets …
contributes to citywide short-term crash risk prediction by leveraging multi-source datasets …
Long-term traffic prediction based on lstm encoder-decoder architecture
Z Wang, X Su, Z Ding - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
Accurate traffic flow prediction is becoming increasingly important for transportation
planning, control, management, and information services of successful. Numerous existing …
planning, control, management, and information services of successful. Numerous existing …
A temporal fusion transformer for short-term freeway traffic speed multistep prediction
Accurate short-term freeway speed prediction is a key component for intelligent
transportation management and can help travelers plan travel routes. However, very few …
transportation management and can help travelers plan travel routes. However, very few …
Traffic flow prediction based on combination of support vector machine and data denoising schemes
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 …
parts in the Intelligent Transportation Systems. As interfering by some external factors, the …
Traffic flow prediction for road transportation networks with limited traffic data
A Abadi, T Rajabioun… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
Obtaining accurate information about current and near-term future traffic flows of all links in a
traffic network has a wide range of applications, including traffic forecasting, vehicle …
traffic network has a wide range of applications, including traffic forecasting, vehicle …
Sequence to sequence learning with attention mechanism for short-term passenger flow prediction in large-scale metro system
The accurate short-term passenger flow prediction is of great significance for real-time public
transit management, timely emergency response as well as systematical medium and long …
transit management, timely emergency response as well as systematical medium and long …
Short-term traffic flow rate forecasting based on identifying similar traffic patterns
FG Habtemichael, M Cetin - Transportation research Part C: emerging …, 2016 - Elsevier
The ability to timely and accurately forecast the evolution of traffic is very important in traffic
management and control applications. This paper proposes a non-parametric and data …
management and control applications. This paper proposes a non-parametric and data …
Optimized structure of the traffic flow forecasting model with a deep learning approach
Forecasting accuracy is an important issue for successful intelligent traffic management,
especially in the domain of traffic efficiency and congestion reduction. The dawning of the …
especially in the domain of traffic efficiency and congestion reduction. The dawning of the …