This study reviews the common practices and procedures conducted to identify the cost
drivers that the past literature has classified into two main categories: qualitative and …

Purpose Challenges associated with ensuring the accuracy and reliability of cost estimation
of highway construction bid items are of significant interest to state highway transportation …

Background Large-scale international studies offer researchers a rich source of data to
examine the relationship among variables. Machine learning embodies a range of flexible …

This paper focuses on modeling and control of in-ground-effect (IGE) on multirotor
unmanned aerial vehicles (UAVs). As the vehicle flies and hovers over, around, or …

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

The main purpose of this study was to demonstrate the uses of regularization, a machine
learning technique, in exploring important predictors for online student success. We …

Cost estimates in the early stages of project development are essential for making the right
decisions, but they are a huge challenge and risk for owners and potential contractors due to …

Under the development strategy of traffic power, Chinese highway engineering has been in
the critical stage, and controlling investment has become a top priority. The budgetary …

Transportation projects require unique and specific management processes, making an
investigation of the particular dimensions of project management relevant to such projects …

In the field of quantitative remote sensing of forest biomass, a prominent phenomenon is the
increasing number of explanatory variables. Then how to effectively select explanatory …