[PDF][PDF] HST-LSTM: A hierarchical spatial-temporal long-short term memory network for location prediction.
The widely use of positioning technology has made mining the movements of people
feasible and plenty of trajectory data have been accumulated. How to efficiently leverage …
feasible and plenty of trajectory data have been accumulated. How to efficiently leverage …
Multi-scale graph-transformer network for trajectory prediction of the autonomous vehicles
The accurate trajectory prediction is a crucial task for the autonomous vehicles that help to
plan and fast decision making capability of the system to reach their destination in the …
plan and fast decision making capability of the system to reach their destination in the …
T-CONV: A convolutional neural network for multi-scale taxi trajectory prediction
Precise destination prediction of taxi trajectories can benefit many intelligent location based
services such as accurate ad for passengers. Traditional prediction approaches, which treat …
services such as accurate ad for passengers. Traditional prediction approaches, which treat …
Graph Neural Network with RNNs based trajectory prediction of dynamic agents for autonomous vehicle
Trajectory prediction is an essential ability for the intelligent transportation system to
navigate through complex traffic scenes. In recent times, trajectory prediction has become an …
navigate through complex traffic scenes. In recent times, trajectory prediction has become an …
A scalable framework for trajectory prediction
Trajectory prediction (TP) is of great importance for a wide range of location-based
applications in intelligent transport systems, such as location-based advertising, route …
applications in intelligent transport systems, such as location-based advertising, route …
Hybrid channel access scheduling in ad hoc networks
L Bao, JJ Garcia-Luna-Aceves - 10th IEEE International …, 2002 - ieeexplore.ieee.org
We present the hybrid activation multiple access (HAMA) protocol for ad hoc networks.
Unlike previous channel access scheduling protocols that activate either nodes or links only …
Unlike previous channel access scheduling protocols that activate either nodes or links only …
Multi-scale and multi-scope convolutional neural networks for destination prediction of trajectories
Precise destination prediction from partial trajectories have a huge potential impact on
intelligent location-based approaches. Traditional prediction approaches, which treat …
intelligent location-based approaches. Traditional prediction approaches, which treat …
Trip destination prediction based on a deep integration network by fusing multiple features from taxi trajectories
Trip destination prediction plays an important role in exploring urban travel patterns.
Accurate prediction can improve the efficiency of traffic management and the quality of …
Accurate prediction can improve the efficiency of traffic management and the quality of …
Taxi-Passenger's destination prediction via GPS embedding and attention-based BiLSTM model
The prediction of taxi-passenger's destination with the partial GPS trajectory left by moving
taxis is an important yet challenging research issue. The high uncertainty of human mobility …
taxis is an important yet challenging research issue. The high uncertainty of human mobility …
Trajectory prediction based on long short-term memory network and Kalman filter using hurricanes as an example
W Qin, J Tang, C Lu, S Lao - Computational Geosciences, 2021 - Springer
Trajectory data can objectively reflect the moving law of moving objects. Therefore, trajectory
prediction has high application value. Hurricanes often cause incalculable losses of life and …
prediction has high application value. Hurricanes often cause incalculable losses of life and …