Generative design (GD) has gained widespread attention in the built environment domain,
revolutionising traditional methodologies in the field. It operates on a set of rules, utilising …

Purpose The purpose of this study to apply stacking ensemble machine learning algorithm
for predicting the cost of highway construction projects. Design/methodology/approach The …

State Highway Agencies (SHAs) and Departments of Transportation (DOTs) allocate their
limited resources to thousands of competing projects in multi-year transportation programs …

Balancing schedule, cost, mobility, and livability when planning urban highway projects built
under accelerated contract provisions is a daunting task. Despite the wealth of research …

Abstract Field Canals Improvement Projects is an important sustainable project to save fresh
water in our world. Machine learning and artificial intelligence (AI) needs sufficient dataset …

One vital task of a project's owner is to determine a reliable and reasonable construction
time for the project. A US highway agency typically uses the bar chart or critical path method …

Estimation of highway project construction time prior to design development has received
comparatively little focus from researchers. State transportation agencies (STAs) and their …

Creating accurate estimates for the duration of road transportation projects is a challenging
task that estimators and engineers have to face daily, and a lack of understanding of what …

Many studies were conducted to predict project time, cost, and risks using historical data of
similar past projects, assuming similar projects within the same group follow similar patterns …

Contract time determination (CTD) by state DOTs is critical to a typical design-bid-build
project due to its profound impacts on stakeholders in various aspects, such as the actual …