78 citations · 202 across the 14 of their papers we have counts for
10 papers
Impact of risk factors on work zone crashes using logistic models and Random Forest
Huthaifa I Ashqar, Qadri H Shaheen, Suleiman A Ashur +1
Work zone safety is influenced by many risk factors. Consequently, a comprehensive knowledge of the risk factors identified from crash data analysis becomes critical in reducing ri…
Predicting Residential Property Value in Catonsville, Maryland: A Comparison of Multiple Regression Techniques
Lee Whieldon, Huthaifa Ashqar
Predicting Residential Property Value in Catonsville, Maryland: A Comparison of Multiple Regression Techniques
Network and Station-Level Bike-Sharing System Prediction: A San Francisco Bay Area Case Study
Huthaifa I. Ashqar, Mohammed Elhenawy, Hesham A. Rakha +2
The paper develops models for modeling the availability of bikes in the San Francisco Bay Area Bike Share System applying machine learning at two levels: network and station. Inves…
Developing a Novel Crowdsourcing Business Model for Micro-Mobility Ride-Sharing Systems: Methodology and Preliminary Results
Mohammed Elhenawy, MD Mostafizur Rahman Komol, Huthaifa I. Ashqar +4
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…
Modeling bike counts in a bike-sharing system considering the effect of weather conditions
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. The Random Fo…
Modeling bike availability in a bike-sharing system using machine learning
Huthaifa I. Ashqar, Mohammed Elhenawy, Mohammed H. Almannaa +3
This paper models the availability of bikes at San Francisco Bay Area Bike Share stations using machine learning algorithms. Random Forest (RF) and Least-Squares Boosting (LSBoost)…