This chapter presents the results of the literature review for operational traffic simulation models. Sources compiled for the literature review include guidance documents (general and DOT-specific), ...

Defense is in a race to innovate. Adversaries are compressing the time between technological discovery, development, fielding and adaptation. The U.S. defense acquisition system must respond by ...

Systems methodology and operational research (OR) constitute a set of interrelated disciplines dedicated to understanding, analysing and improving complex systems. Stemming from mid-20th-century ...

The manufacturing and operations landscape is experiencing a significant shift, fueled by advanced technologies such as artificial intelligence (AI) and simulation software. Central to this ...

Predictive analytics allows data professionals to identify trends, forecast outcomes and test assumptions using data. When these capabilities are applied to simulation modeling, they make models more ...

Simulation forecasting blends simulation modeling with predictive analytics to help organizations navigate uncertainty and make more informed, data-driven decisions. Simulation forecasting uses ...

Systematic, well-designed, and implementable research is the most effective way to solve many problems facing state department of transportation (DOT) administrators and engineers. Often, highway ...