no code implementations • 7 Jun 2020 • Mohammed Hamad Almannaa, Huthaifa I. Ashqar, Mohammed Elhenawy, Mahmoud Masoud, Andry Rakotonirainy, Hesham Rakha
Results also show a similar usage pattern for the average speed of e-bikes and e-scooters throughout the days of the week and a different usage pattern for the average speed of e-bikes and e-scooters over the hours of the day.
no code implementations • 12 Jun 2020 • Huthaifa I. Ashqar, Mohammed H. Almannaa, Mohammed Elhenawy, Hesham A. Rakha, Leanna House
This paper develops a novel two-layer hierarchical classifier that increases the accuracy of traditional transportation mode classification algorithms.
no code implementations • 12 Jun 2020 • Huthaifa I. Ashqar, Mohammed Elhenawy, Mahmoud Masoud, Andry Rakotonirainy, Hesham A. Rakha
RQA features are added to traditional time domain features to investigate the classification accuracy when using binary, four-class, and five-class Random Forest classifiers.
no code implementations • 13 Jun 2020 • Huthaifa I. Ashqar, Mohammed Elhenawy, Hesham A. Rakha
The paper develops a method that quantifies the effect of weather conditions on the prediction of bike station counts in the San Francisco Bay Area Bike Share System.
no code implementations • 12 Jun 2020 • Huthaifa I. Ashqar, Mohammed Elhenawy, Mohammed H. Almannaa, Ahmed Ghanem, Hesham A. Rakha, Leanna House
The univariate models were used to model the number of available bikes at each station.
no code implementations • 11 Mar 2023 • AlsharifHasan Mohamad Aburbeian, Huthaifa I. Ashqar
A dataset of credit card transactions was used in this study.
no code implementations • 11 Mar 2023 • Ahmad Hamarshe, Huthaifa I. Ashqar, Mohammad Hamarsheh
The concept of Software Defined Networking (SDN) represents a modern approach to networking that separates the control plane from the data plane through network abstraction, resulting in a flexible, programmable and dynamic architecture compared to traditional networks.
no code implementations • 23 Sep 2023 • Farah Abu Hamad, Rama Hasiba, Deema Shahwan, Huthaifa I. Ashqar
This study investigates driving behavior at roundabouts in a mixed traffic environment using a data-driven unsupervised machine learning to classify driving behavior at three roundabouts in Germany.
no code implementations • 25 Sep 2023 • Tasnim M. Dwekat, Ayda A. Almsre, Huthaifa I. Ashqar
In recent years, rotors have been increasingly used between countries due to their safety, capacity, and environmental advantages, and because they provide safe and fluid flows of vehicles for transit and integration.