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A Traffic Simulation Model Allowing For Wide-ranged Vehicle Communication

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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A Traffic Simulation Model Allowing For Wide-ranged Vehicle Communication

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  1. Timmy Galvin A Traffic Simulation Model Allowing For Wide-ranged Vehicle Communication

  2. Abstract • Traffic Simulation • Moving past optimal • Model Types: • Fluid Flow • Agent Based Modeling

  3. Introduction • Communication • Calculation- information flow • Human behavior • Reaction and Response

  4. Background • Traffic Jams • Optimization of Models • Variable speed limits • Kai Nagel • Steen Rasmussen • Micro models

  5. Development • World and environment • Vehicles- all private information • Reaction Algorithm • Turning Algorithm • Density versus Flow

  6. Fluid Flow Model • Opposing theory • Terrible at small perturbations • Butterfly effect • Mostly kept in the United States • Slow to change to agent based

  7. Reaction Algorithm • Delta X • Smallest distance on same line of travel • Function of two velocities • Previously linear • Not true human behavior, more development

  8. Turning Algorithm • All angle-based • Trigonometric Functions • Leads to issues in detection algorithm for a 2d system

  9. 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

  10. 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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