[HTML][HTML] New York City taxi trip duration prediction using MLP and XGBoost

M Poongodi, M Malviya, C Kumar, M Hamdi… - International Journal of …, 2022 - Springer
Abstract New York City taxi rides form the core of the traffic in the city of New York. The many
rides taken every day by New Yorkers in the busy city can give us a great idea of traffic …

Handling producer and consumer mobility in IoT publish–subscribe named data networks

D Hernandez, L Gameiro, C Senna… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
In recent years, the Internet of Things (IoT) has become a standard facet of modern
communications, and information-centric networks have been pointed as an alternative to …

Spatiotemporal capsule neural network for vehicle trajectory prediction

Y Qin, YL Guan, C Yuen - IEEE Transactions on Vehicular …, 2023 - ieeexplore.ieee.org
Through advancement of the Vehicle-to-Everything (V2X) network, road safety, energy
consumption, and traffic efficiency can be significantly improved. An accurate vehicle …

[HTML][HTML] Context-based caching in mobile information-centric networks

L Leira, M Luís, S Sargento - Computer Communications, 2022 - Elsevier
Wireless networking is expected to sustain the direct interaction between personal users'
devices, and to provide connectivity on large-scale resource-constrained devices. However …

Consumer mobility awareness in named data networks

D Hernandez, M Luís, S Sargento - IEEE Access, 2022 - ieeexplore.ieee.org
Mobile data traffic has increased significantly due to the evolution of wireless communication
technologies. The Information Centric Network paradigm is considered as an alternative to …

[HTML][HTML] The efficient mobile management based on metaheuristic algorithm for internet of vehicle

SY Huang, SS Chen, MX Chen, YC Chang, HC Chao - Sensors, 2022 - mdpi.com
With the low latency, high transmission rate, and high reliability provided by the fifth-
generation mobile communication network (5G), many applications requiring ultra-low …

Tensor-Based Viterbi Algorithms for Collaborative Cloud-Edge Cyber-Physical-Social Activity Prediction

S Zhang, LT Yang, Y Zhang, Z Lu, Z Cui - ACM Transactions on Sensor …, 2024 - dl.acm.org
With the rapid development and application of smart city, Cyber-Physical-Social Systems
(CPSS) as its superset is becoming increasingly important, and attracts extensive attentions …

Predicting the Aggregate Mobility of a Vehicle Fleet within a City Graph

JF Sánchez-Rada, R Vila-Rodríguez, J Montes… - Algorithms, 2024 - mdpi.com
Predicting vehicle mobility is crucial in domains such as ride-hailing, where the balance
between offer and demand is paramount. Since city road networks can be easily …

The Impact of the Spatial Sampling Resolution on the Prediction of Vehicular Mobility

R Ferreira, M Luís, R Oliveira - 2022 International Wireless …, 2022 - ieeexplore.ieee.org
This work characterizes the influence of different spatial sampling resolutions on the
prediction of vehicular mobility. By assuming different spatial quantization areas over a …

Inertial Navigation Trajectory and Attitude Prediction Based on Improved Hidden Markov Model

Z Gao, S Ge, J Li, K Feng - 2023 IEEE 16th International …, 2023 - ieeexplore.ieee.org
In order to solve the problem that the trajectory prediction time of inertial navigation system
(INS) data is too long and the attitude cannot be predicted, a trajectory and attitude …