4-D flight trajectory prediction with constrained LSTM network
Z Shi, M Xu, Q Pan - IEEE transactions on intelligent …, 2020 - ieeexplore.ieee.org
The increasing aviation activities pose a challenge to ensure a safe and orderly flight.
Trajectory prediction is one of the most important forecasting tasks in Air Traffic …
Trajectory prediction is one of the most important forecasting tasks in Air Traffic …
A comprehensive survey on trajectory-based location prediction
V Koolwal, KK Mohbey - Iran Journal of Computer Science, 2020 - Springer
Recent explorative growth in telecommunication and telepathy technology has flooded the
market with location-based data, which paves the way for location-aware prediction …
market with location-based data, which paves the way for location-aware prediction …
Mobility prediction-based optimisation and encryption of passenger traffic-flows using machine learning
Information and Communication Technology (ICT) enabled optimisation of train's passenger
traffic flows is a key consideration of transportation under Smart City planning (SCP) …
traffic flows is a key consideration of transportation under Smart City planning (SCP) …
Defending malicious check-in using big data analysis of indoor positioning system: An access point selection approach
The integration of WiFi fingerprint-based indoor positioning technology and big data
analysis emerges as a new research prospect. Through the analysis of big data collected …
analysis emerges as a new research prospect. Through the analysis of big data collected …
Enhanced handover mechanism using mobility prediction in wireless networks
The rapid increase in the usage of the mobile internet has led to a great expansion of
cellular data networks in order to provide better quality of service. However, the cost to …
cellular data networks in order to provide better quality of service. However, the cost to …
Mobility prediction based proactive dynamic network orchestration for load balancing with QoS constraint (OPERA)
Load imbalance among small and macro cells is a major challenge that undermines the
gains of emerging ultradense heterogeneous networks (HetNets). Existing load balancing …
gains of emerging ultradense heterogeneous networks (HetNets). Existing load balancing …
Naive Bayes classifier based driving habit prediction scheme for VANET stable clustering
T Liu, S Shi, X Gu - Mobile Networks and Applications, 2020 - Springer
Vehicular ad hoc network (VANET) is expected one of promising network forms for intelligent
transportation system which supports road safety applications, in-vehicle entertainment and …
transportation system which supports road safety applications, in-vehicle entertainment and …
Measuring the gap between the maximum predictability and prediction accuracy of human mobility
J Guo, S Zhang, J Zhu, R Ni - IEEE Access, 2020 - ieeexplore.ieee.org
It has been claimed that human mobility is highly predictable and an upper bound of 93%
predictability is achievable. However, there is a significant gap between the upper bound of …
predictability is achievable. However, there is a significant gap between the upper bound of …
Predicting human mobility via long short-term patterns
J Chen, J Li, Y Li - Computer Modeling in Engineering & …, 2020 - ingentaconnect.com
Predicting human mobility has great significance in Location based Social Network
applications, while it is challenging due to the impact of historical mobility patterns and …
applications, while it is challenging due to the impact of historical mobility patterns and …
GeoHash tag based mobility detection and prediction for traffic management
User mobility detection and prediction can help in many ways for planning and monitoring a
population distribution and displacement in a specific area or location. It also helps in …
population distribution and displacement in a specific area or location. It also helps in …