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Published byAlicia Floyd Modified over 8 years ago
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A Traffic Simulation Model Allowing For Wide-ranged Vehicle Communication Timmy Galvin
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Abstract Traffic Simulation Moving past optimal Model Types: Fluid Flow Agent Based Modeling
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Introduction Communication Calculation- information flow Human behavior Reaction and Response
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Background Traffic Jams Optimization of Models Variable speed limits Kai Nagel Steen Rasmussen Micro models
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Development World and environment Vehicles- all private information Reaction Algorithm Turning Algorithm Density versus Flow
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Fluid Flow Model Opposing theory Terrible at small perturbations Butterfly effect Mostly kept in the United States Slow to change to agent based
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Reaction Algorithm Delta X Smallest distance on same line of travel Function of two velocities Previously linear Not true human behavior, more development
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Turning Algorithm All angle-based Trigonometric Functions Leads to issues in detection algorithm for a 2d system
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Results Traffic jam moving backwards- speed trap Graphical analysis of density versus flow Information sharing to alleviate traffic Adjustable speed limits Removing traffic impediments- stop signs
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Conclusion Traffic is dependent on human specific behavior More factors need to be taken into account Further research Micro model → macro model Compilation of parts
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