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Timmy Galvin. A Traffic Simulation Model Allowing For Wide-ranged Vehicle Communication . Abstract. Traffic Simulation Moving past optimal Model Types: Fluid Flow Agent Based Modeling. Introduction. Communication Calculation- information flow Human behavior Reaction and Response.
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Timmy Galvin A Traffic Simulation Model Allowing For Wide-ranged Vehicle Communication
Abstract • Traffic Simulation • Moving past optimal • Model Types: • Fluid Flow • Agent Based Modeling
Introduction • Communication • Calculation- information flow • Human behavior • Reaction and Response
Background • Traffic Jams • Optimization of Models • Variable speed limits • Kai Nagel • Steen Rasmussen • Micro models
Development • World and environment • Vehicles- all private information • Reaction Algorithm • Turning Algorithm • Density versus Flow
Fluid Flow Model • Opposing theory • Terrible at small perturbations • Butterfly effect • Mostly kept in the United States • Slow to change to agent based
Reaction Algorithm • Delta X • Smallest distance on same line of travel • Function of two velocities • Previously linear • Not true human behavior, more development
Turning Algorithm • All angle-based • Trigonometric Functions • Leads to issues in detection algorithm for a 2d system
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
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