Riassunto
Simulation and molding are efficient techniques that can aid the city and regional planners and engineers in optimizing the operation of urban systems such as traffic light control, highway toll automation, consensus building, public safety, and environmental protection. When modeling transportation systems such as freeway systems, arterial or downtown grid systems, the city planner and engineer is concerned with capturing the varied interactions between drivers, automobiles, and the infrastructure. Modeling and simulation are used to effectively optimize the design and operation of all of these urban systems. It is possible that in an urban simulation community workshop, citizens can work interactively in front of computers and be able using the click of the mouse to walk up to their own front porch, looking at the proposed shopping mall alternatives across the street from virtually any angle and proposed bridge or tunnel and see how it can reduce traffic congestion. Buildings can be scaled down or taken out, their orientation can be changed in order to check the view and orientation in order to have better site with efficient energy-conservation. The stone or brick material on a building can be replaced by colored concrete, or more trees and lampposts can be placed on the site. Such flexibility in simulation and animation allows creative ideas in the design and orientation of urban sites to be demonstrated to citizens and decision makers before final realization.
Contenuti
1: Introduction to Applied System Simulation; M.S. Obaidat, G.I. Papadimitriou. 2: Fundamentals of System Simulation; G.I. Papadimitriou, B. Sadoun, C. Papazoglou. 3: Simulation of Computer System Architectures; D.N. Serpanos, M. Gambrili, D. Chaviaras. 4: Simulation of Parallel and Distributed Systems Scheduling; H.D. Karatza. 5: Modeling and Simulation of ATM Systems and Networks; M.S. Obaidat, N. Boudriga. 6: Simulation of Wireless Networks; M.S. Obaidat, D.B. Green. 7: Satellite System Simulation; F. Davoli, M. Marchese. 8: Simulation in Web Data Management Systems; G.I. Papadimitriou, A.I. Vakali, G. Pallis, S. Petridou, A.S. Pomportsis. 9: Modeling and Simulation of Semiconductor Transceivers; J. Leonard, A. Savla, M. Ismail. 10: Agent- Oriented Simulation; A. Uhrmacher, W. Swartout. 11: A Distributed Intelligent Discrete-Event Environment for Autonomous Agents Simulation; M. Jamshidi, S. Sheikh-Bahaei, J. Kitzinger, P. Sridhar, S. Xia, Y. Wang, J. Liu, E. Tunstel, Jr., M. Akbarzadeh, A. El-Osery, M. Fathi, X. Hu, B.P. Zeigler. 12: Simulation in Health Services and Biomedicine; J.G. Anderson. 13: Simulation in Environmental and Ecological Systems; L.A. Belfore, II. 14: Simulation in City Planning and Engineering; B. Sadoun. 15: Simulation of Manufacturing Systems; J.W. Fowler, A.K. Schömig. 16: Aerospace Vehicle and Air Traffic Simulation; A.R. Pritchett, M.M. van Paassen, F.P. Wieland , E.N. Johnson. 17: Simulation in Business Administration and Management; W. Dangelmaier, B. Mueck. 18: Military Applications of Simulation; P.K. Davis. 19: Simulation in Education and Training; J.P. Kincaid, R. Hamilton, R.W. Tarr, H. Sangani. 20: Parallel and Distributed Simulation; F. Moradi, R. Ayani. 21: Verification, Validation, and Accreditation of Simulation Models; D.K. Pace. Index.
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