An integrated feature learning approach using deep learning for travel time prediction
Travel time data is a vital factor for numbers of performance measures in transportation
systems. Travel time prediction is both a challenging and interesting problem in ITS …
systems. Travel time prediction is both a challenging and interesting problem in ITS …
Freeway travel time prediction using deep hybrid model–taking Sun Yat-Sen freeway as an example
PY Ting, T Wada, YL Chiu, MT Sun… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
As the population keeps growing, traffic congestion happens more and more often.
Consequently, travel time has become an important indicator of driving experience. Accurate …
Consequently, travel time has become an important indicator of driving experience. Accurate …
Network scale travel time prediction using deep learning
In recent years, deep learning models have been receiving increased attention within the
artificial intelligence (AI) community because of their high prediction accuracy. In this paper …
artificial intelligence (AI) community because of their high prediction accuracy. In this paper …
Deep spatial-temporal travel time prediction model based on trajectory feature
Research on travel time prediction shows its importance in the rational planning of travel
arrangements and traffic congestion mitigation. The scale of taxi and online ride-hailing …
arrangements and traffic congestion mitigation. The scale of taxi and online ride-hailing …
Travel-time prediction with deep learning
C Siripanpornchana, S Panichpapiboon… - 2016 ieee region 10 …, 2016 - ieeexplore.ieee.org
Travel time prediction is a challenging problem in Intelligent Transportation Systems (ITS).
Accurate travel time information helps motorists plan their routes more wisely. This, in turn …
Accurate travel time information helps motorists plan their routes more wisely. This, in turn …
A flexible deep learning-aware framework for travel time prediction considering traffic event
M Xu, H Liu - Engineering Applications of Artificial Intelligence, 2021 - Elsevier
Travel time is an important signal to measure the performance of transportation systems.
However, urban traffic forecasting is still a challenging task due to the complicated nonlinear …
However, urban traffic forecasting is still a challenging task due to the complicated nonlinear …
Travel time prediction with LSTM neural network
Travel time is one of the key concerns among travelers before starting a trip and also an
important indicator of traffic conditions. However, travel time acquisition is time delayed and …
important indicator of traffic conditions. However, travel time acquisition is time delayed and …
Short-term travel time prediction by deep learning: A comparison of different LSTM-DNN models
Y Liu, Y Wang, X Yang, L Zhang - 2017 IEEE 20th international …, 2017 - ieeexplore.ieee.org
Predicting short-term travel time with considerable accuracy and reliability is critically
important for advanced traffic management and route planning in Intelligent Transportation …
important for advanced traffic management and route planning in Intelligent Transportation …
Utilizing attention-based multi-encoder-decoder neural networks for freeway traffic speed prediction
A Abdelraouf, M Abdel-Aty… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Speed prediction is a crucial yet complicated task for intelligent transportation systems. The
challenge derives from the complex spatiotemporal dependencies of traffic parameters. In …
challenge derives from the complex spatiotemporal dependencies of traffic parameters. In …
Long-term traffic time prediction using deep learning with integration of weather effect
Traffic time prediction is a classical problem in intelligent transportation domain, which has
attracted lots of attention from the research community in last three decades. The existing …
attracted lots of attention from the research community in last three decades. The existing …