[HTML][HTML] Particle swarm optimization and RBF neural networks for public transport arrival time prediction using GTFS data

E Chondrodima, H Georgiou, N Pelekis… - International Journal of …, 2022 - Elsevier
Abstract Accurate prediction of Public Transport (PT) mobility is important for intelligent
transportation. Nowadays, mobility data have become increasingly available with the …

A robust and practical solution to ADS-B security against denial-of-service attacks

Q Zhang, Z Wang, B Wu, G Gui - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
ADS-B has been widely deployed on aircraft to facilitate aviation information exchange and
improve air traffic safety. However, its broadcast nature and lack of security considerations …

Machine learning models for vessel route forecasting: An experimental comparison

E Chondrodima, P Mandalis, N Pelekis… - 2022 23rd IEEE …, 2022 - ieeexplore.ieee.org
Maritime transport systems are essential to human mobility. A vital part of the maritime
transport systems is the accurate vessel route forecasting (VRF). However, accurate VRF is …

Public transport arrival time prediction based on GTFS data

E Chondrodima, H Georgiou, N Pelekis… - … Conference on Machine …, 2021 - Springer
Public transport (PT) systems are essential to human mobility. PT investments continue to
grow, in order to improve PT services. Accurate PT arrival time prediction (PT-ATP) is vital for …