原文传递 A scaleable architecture for the modeling and simulation of intelligent transportation systems.
题名: A scaleable architecture for the modeling and simulation of intelligent transportation systems.
作者: Tentner, A.;Ewing, T.;
关键词: 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION ; ARCHITECTURE; COMPUTERS; DETECTION; HUMAN FACTORS; MANAGEMENT; PERFORMANCE; PROBES; SIMULATION; TRAINING; TRANSPORTATION SYSTEMS
摘要: A distributed, scaleable architecture for the modeling and simulation of Intelligent Transportation Systems on a network of workstations or a parallel computer has been developed at Argonne National Laboratory. The resulting capability provides a modular framework supporting plug-in models, hardware, and live data sources; visually realistic graphics displays to support training and human factors studies; and a set of basic ITS models. The models and capabilities are described, along with atypical scenario involving dynamic rerouting of smart vehicles which send probe reports to and receive traffic advisories from a traffic management center capable of incident detection.
报告类型: 科技报告
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