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Virtual Worlds and Serious Games as Training Tools
Published in Christopher Best, George Galanis, James Kerry, Robert Sottilare, Fundamental Issues in Defense Training and Simulation, 2013
The UrbanSim game environment is similar to turn-based strategy games and city-building games, like SimCity. The student has a 2D view of the environment, showing an overhead view of the city. After planning the mission, the student manages the battalion’s actions by providing inputs into the game, with each turn representing a day in the simulated environment. The game’s underlying simulation is driven by two components: the PsychSim social modeling tool and the story-driven simulation engine. PsychSim is used to model the population, including their culture, goals, relationships, and beliefs. The story-driven simulation engine is used to generate realistic events in the simulation, based on data collected from real-life events that occurred under similar conditions. These events are provided to the student using situation reports. An ITS is used to provide feedback to the student during the simulation exercise. When it is used in a classroom environment, the instructor can ask students to provide a status briefing during the operation and as part of an AAR to facilitate discussion and emphasize teaching points (McAlinden et al., 2009).
The Rise of the Smart City
Published in Rocky Dr. Termanini, The Nano Age of Digital Immunity Infrastructure Fundamentals and Applications, 2018
Academia provides simulation systems for research, which are excellent tools for urban planning. The University of California in Berkeley has UrbanSim, which allows users to run simulations, draw from a library of open data, and produce visualizations. It is a free and open source. UrbanSim aims to help urban planners better understand the impact of interventions. Simulated scenarios with different input parameters can be shared with citizens for discussion and feedback.
Modeling and forecasting household energy consumption and related CO2 emissions integrating UrbanSim and transportation models: an Atlanta BeltLine case study
Published in Transportation Planning and Technology, 2018
UrbanSim is a land-use micro-simulation system which is frequently utilized to support scenario-based planning and socio-demographic forecasts (Waddell 2002; Waddell et al. 2003). This urban-simulation system provides detailed data to incorporate forecasts of many important variables into energy consumption models, and provides urban planners with a perspective for estimating energy consumption related to a location's demography, economy, and urban landscapes. In this study, the simulation was performed at the TAZ level. Outputs from UrbanSim, including detailed information about household characteristics, employment, and urban development, were then used to estimate energy consumption.