A comparative analysis of e-scooter and e-bike usage patterns: Findings from the City of Austin, TX

MH Almannaa, HI Ashqar, M Elhenawy… - International Journal …, 2021 - Taylor & Francis
E-scooter-sharing and e-bike-sharing systems are accommodating and easing the
increased traffic in dense cities and are expanding considerably. However, these new micro …

Network and station-level bike-sharing system prediction: A San Francisco bay area case study

HI Ashqar, M Elhenawy, HA Rakha… - Journal of Intelligent …, 2022 - Taylor & Francis
The paper develops models for modeling the availability of bikes in the San Francisco Bay
Area Bike Share System (BSS) applying machine learning at two levels: network and station …

Dynamic linear models to predict bike availability in a bike sharing system

MH Almannaa, M Elhenawy… - International journal of …, 2020 - Taylor & Francis
A significant increase in the use of a bike sharing systems (BSSs) can cause imbalances in
the distribution of bikes, creating logistical challenges. Moreover, imbalanced BSSs …

[HTML][HTML] A novel crowdsourcing model for micro-mobility ride-sharing systems

M Elhenawy, MR Komol, M Masoud, SQ Liu, HI Ashqar… - Sensors, 2021 - mdpi.com
Substantial research is required to ensure that micro-mobility ride sharing provides a better
fulfilment of user needs. This study proposes a novel crowdsourcing model for the ride …

Developing a novel crowdsourcing business model for micro-mobility ride-sharing systems: Methodology and preliminary results

M Elhenawy, MD Komol, HI Ashqar… - arXiv preprint arXiv …, 2020 - arxiv.org
Micro-mobility ride-sharing is an emerging technology that provides access to the transit
system with minimum environmental impacts. Significant research is required to ensure that …

Incremental learning models of bike counts at bike sharing systems

MH Almannaa, M Elhenawy, F Guo… - 2018 21st International …, 2018 - ieeexplore.ieee.org
Bike sharing systems (BSSs) have become a convenient and environmentally friendly
transportation mode, but may suffer from logistical issues such as bike shortages at stations …

Traffic state prediction: A traveler equity and multi-modal perspective

HA Rakha, M Almannaa, H Ashqar, M Elhenawy… - 2019 - rosap.ntl.bts.gov
Traffic congestion has become a major problems in many urban areas, and has related
environmental, economic, and equity impacts. One potential method of reducing urban traffic …

[HTML][HTML] Optimizing Bike Sharing Systems: Dynamic Prediction Using Machine Learning and Statistical Techniques and Rebalancing

MH Almannaa - 2019 - vtechworks.lib.vt.edu
The large increase in on-road vehicles over the years has resulted in cities facing
challenges in providing high-quality transportation services. Traffic jams are a clear sign that …