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Modeling of Optimized Traffic Patterns Using GPS and Wireless Communications Between Traffic Lights and Vehicles Bryan W PowerPoint Presentation
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Modeling of Optimized Traffic Patterns Using GPS and Wireless Communications Between Traffic Lights and Vehicles Bryan Ward 11/3/06 Introduction

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Modeling of Optimized Traffic Patterns Using GPS and Wireless Communications Between Traffic Lights and Vehicles

Bryan Ward

11/3/06

introduction
Introduction

In the last few years GPS navigation systems as well as wireless communications systems, such as bluetooth, wireless internet, and cell phones, have becoming increasingly popular and accessible. The marriage of these two systems could allow for more efficient traffic patterns as traffic could be dynamically regulated by wireless communication between vehicles and/or traffic regulators such as lights. Vehicles could be automatically routed the fastest route based on the volume of traffic on given roads and highways. Traffic lights could be optimized to be more efficient by knowing the exact location of nearby vehicles, and where those vehicles are going, if their navigation systems transmit that data. Speed limit signs could be dynamically adjusted based on the volume of traffic on the road, and the conditions from a local weather report. By implementing systems such as these, people could reduce travel time, and in turn reduce the use of fossil fuels that waste natural resources as well as pollute the environment.

areas of research
Areas of Research
  • Agent Based Modeling
    • Cars are agents in the model
  • Artificial Intelligence
    • AI used to map routes
visualization
Visualization
  • The visualization of the model uses java
  • Java allows me to create the program exactly to my specifications
  • NetLogo and Mason take time to learn
progress
Progress
  • Thus far the model has:
    • road class
    • car class
  • Visualization for each of these classes
  • The use of having classes is that the each element will be considered individually, but can access certain values from other classes.
future work
Future Work
  • In the next quarter:
    • Adjust cars velocity based on other cars
    • Add traffic lights
    • Adjust cars velocity based on traffic lights
  • In the last quarter:
    • Route cars around area of high traffic density
    • Route cars based on where other cars are going – aka route cars around estimated future traffic volume