Big mobility data analytics: recent advances and open problems
Nowadays, we have the means to collect, store and process mobility data of an
unprecedented quantity, quality and timeliness. This is mainly due to the wide spread of …
unprecedented quantity, quality and timeliness. This is mainly due to the wide spread of …
APOTS: A model for adversarial prediction of traffic speed
Many global automakers strive to develop technologies towards the next-generation of
intelligent transportation systems (ITS). One of the primary goals of ITS is predicting future …
intelligent transportation systems (ITS). One of the primary goals of ITS is predicting future …
New algorithms for the simplification of multiple trajectories under bandwidth constraints
G Dejaegere, M Sakr - arXiv preprint arXiv:2403.04821, 2024 - arxiv.org
This study introduces time-windowed variations of three established trajectory simplification
algorithms. These new algorithms are specifically designed to be used in contexts with …
algorithms. These new algorithms are specifically designed to be used in contexts with …
[PDF][PDF] On-Board-Unit Big Data Analytics: from Data Architecture to Traffic Forecasting
M Jansen - 2022 - researchgate.net
Accurate traffic information is essential to reduce the adverse effects of road transport in
cities. Today, urban planners and policy-makers demand Intelligent Transportation Systems …
cities. Today, urban planners and policy-makers demand Intelligent Transportation Systems …