340 The UMaP Journal 22.3 (2001) The Outstanding Papers The six papers selected as outstanding were recognized as the best of the submissions because they e developed a solid model which allowed them to address all six questions and analyze at least one very thoroughly made a set of clear recommendations analyzed their recommendations within the context of the problem; and wrote a clear and coherent paper describing the problem, their model, and their recommendations Here is a brief summary of the highlights of the Outstanding papers The Bethel College team used a basic car-following model to determine an optimal density, which maximized flow, for individual road segments. They then formulated a maximum flow problem, with intersections and cities as vertices and road segments as arcs. The optimal densities were used as arc capacities, the numbers of vehicles to be evacuated from each city were used as the sources, and cities at least 50 miles inland were defined to be sinks. each city was then assigned an optimal evacuation route, and total evacuation times under the different scenarios were examined The Duke team also used a basic car-following model from the traffic modeling literature This model provided the foundation of a one-dimensional cellular automata simulation. They did a particularly good job of defining evac- uation performance measures--maximum traffic flow and minimum transit time, and analyzing traffic mergers and bottlenecks-aspects of the problem gored by many other teams What discussion of outstanding papers would be complete without a har- vey Mudd team? Of the teams that utilized literature-based models, this team did the best job of considering advanced parameters--including road grade, non-ideal drivers, and heavy-vehicle modification. They also did a very good job of comparing their model with the new South Carolina evacuation plan, recognizing the bottleneck problem in Columbia, and analyzing the impact of extra drivers from Florida and Georgia on I-95. Their entry was a nice example of a simple model that was well analyzed and thoroughly explained The Virginia Governor's School team began their analysis by reviewing the current South Carolina evacuation plan, a baseline to compare their model against. They researched the literature to find traffic-flow equations and then used a genetic algorithm to assign road orientation and evacuation start times for cities. They did an exceptionally good job of analyzing the sensitivity of heir model to changes in parameter values The INFORMS prizewinner, from Lawrence Technical University, combined Greenshields model with a discrete event simulation. The judges saw thisentry as a solid paper with logical explanations and a good analysis. The teams340 The UMAP Journal 22.3 (2001) The Outstanding Papers The six papers selected as Outstanding were recognized as the best of the submissions because they: • developed a solid model which allowed them to address all six questions, and analyze at least one very thoroughly; • made a set of clear recommendations; • analyzed their recommendations within the context of the problem; and • wrote a clear and coherent paper describing the problem, their model, and their recommendations. Here is a brief summary of the highlights of the Outstanding papers. The Bethel College team used a basic car-following model to determine an optimal density, which maximized flow, for individual road segments. They then formulated a maximum flow problem, with intersections and cities as vertices and road segments as arcs. The optimal densities were used as arc capacities, the numbers of vehicles to be evacuated from each city were used as the sources, and cities at least 50 miles inland were defined to be sinks. Each city was then assigned an optimal evacuation route, and total evacuation times under the different scenarios were examined. The Duke team also used a basic car-following model from the traffic￾modeling literature. This model provided the foundation of a one-dimensional cellular automata simulation. They did a particularly good job of defining evac￾uation performance measuresómaximum traffic flow and minimum transit time, and analyzing traffic mergers and bottlenecksóaspects of the problem ignored by many other teams. What discussion of Outstanding papers would be complete without a Har￾vey Mudd team? Of the teams that utilized literature-based models, this team did the best job of considering advanced parametersóincluding road grade, non-ideal drivers, and heavy-vehicle modification. They also did a very good job of comparing their model with the new South Carolina evacuation plan, recognizing the bottleneck problem in Columbia, and analyzing the impact of extra drivers from Florida and Georgia on I-95. Their entry was a nice example of a simple model that was well analyzed and thoroughly explained. The Virginia Governorís School team began their analysis by reviewing the current South Carolina evacuation plan, a baseline to compare their model against. They researched the literature to find traffic-flow equations and then used a genetic algorithm to assign road orientation and evacuation start times for cities. They did an exceptionally good job of analyzing the sensitivity of their model to changes in parameter values. The INFORMS prizewinner, from Lawrence Technical University, combined Greenshieldís model with a discrete event simulation. The judges saw this entry as a solid paper with logical explanations and a good analysis. The teamís