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# 4-Way Junction Traffic Simulation (for Sri Lanka) using NetLogo
## WHAT IS IT?
The **4Way Junction Traffic Simulation** is a NetLogo model designed to simulate traffic flow at a four-way intersection. The model aims to represent the dynamics of vehicle movement through an intersection controlled by traffic lights, exploring how various traffic light timings and vehicle behaviors impact overall traffic efficiency and congestion. It is specifically adapted to reflect Sri Lankan road rules and traffic patterns.
## HOW IT WORKS
The model simulates vehicle movement and traffic light control at a four-way intersection. Key elements include:
- **Traffic Lights**: Controlled by dynamic timing adjustments to manage traffic flow. - **Vehicles**: Move through the intersection according to traffic rules and light signals. - **Intersection Management**: The model tracks traffic density, vehicle waiting times, and calculates traffic density. - **Deadlock Detection**: Identifies when all vehicles are stopped or blocked, indicating a deadlock.
The agents (vehicles and traffic lights) use the following rules to create the overall behavior:
- Vehicles move forward based on their current heading and speed. - Traffic lights change color based on preset timings and traffic conditions. - Vehicles respond to traffic light changes and other vehicles at the intersection. - The simulation detects and handles deadlocks by pausing and providing user notifications.
## HOW TO USE IT
To use the model:
1. **Interface Controls**: - **Sliders**: Adjust parameters such as traffic light cycle times, vehicle population, and speed. - **Buttons**: Start and stop the simulation. - **Monitors**: Display real-time metrics such as total cars, waiting cars, and traffic density. - **Input Fields**: Enter preset values for traffic timers, including peak and off-peak times.
2. **Running the Simulation**: - Click the **"Setup"** button to initialize the model. - Use the **"Go"** button to start the simulation. - Adjust sliders and observe how changes affect traffic flow.
## THINGS TO NOTICE
- **Traffic Light Changes**: Watch how different traffic light timings impact vehicle movement and intersection congestion. - **Deadlock Situations**: Observe scenarios where vehicles become blocked and how the model detects these situations. - **Vehicle Behavior**: Notice how vehicles respond to traffic lights and other vehicles at the intersection. - **Performance Impact**: Pay attention to how different speed settings affect the simulation's performance and realism.
## THINGS TO TRY
- **Adjust Traffic Light Timings**: Change the cycle times of traffic lights and observe how it affects traffic flow and congestion. - **Experiment with Vehicle Density**: Populate roads with different numbers of vehicles and analyze the impact on traffic efficiency. - **Change Peak and Off-Peak Times**: Modify peak and off-peak timings to see how traffic flow adjusts with varying traffic light schedules. - **Modify Traffic Cycles**: Adjust the traffic light cycle times and observe the impact on vehicle movement and intersection management. - **Simulate Different Traffic Scenarios**: Use the model to test various traffic management strategies and observe their effects.
## EXTENDING THE MODEL
To enhance the model further:
- **Add Overtaking Behavior**: Implement vehicle overtaking capabilities to reflect more realistic driving behaviors. - **Incorporate Pedestrian Crossings**: Include pedestrian traffic and crossing signals to simulate a more comprehensive traffic environment. - **Expand to Multiple Intersections**: Develop the model to cover a network of intersections for a more complex traffic simulation. - **Integrate Real-Time Data**: Use real-time traffic data to update the simulation dynamically and improve accuracy.
## NETLOGO FEATURES
The model leverages several interesting NetLogo features:
- **Agent-Based Modeling**: Simulates individual vehicles and traffic lights as agents with specific behaviors. - **Custom Sliders and Inputs**: Allows dynamic adjustment of parameters such as traffic light timings and vehicle counts. - **Data Visualization**: Utilizes monitors and plots to visualize traffic metrics and performance.
## RELATED MODELS
- **TrafficBasic** by [Uri Wilensky](https://ccl.northwestern.edu/netlogo/models/TrafficBasic): A foundational model for basic traffic flow. - **Traffic Grid** by [Uri Wilensky](https://ccl.northwestern.edu/netlogo/models/TrafficGrid): Extends basic traffic simulation to a grid layout. - **Traffic Intersection** by [Uri Wilensky](https://ccl.northwestern.edu/netlogo/models/TrafficIntersection): Focuses on intersection management. - **Traffic 2 Lanes** by [Uri Wilensky](https://ccl.northwestern.edu/netlogo/models/Traffic2Lanes): Explores multi-lane traffic dynamics. - **Traffic Dynamics** by [Francesca De Min](https://ccl.northwestern.edu/netlogo/models/TrafficDynamics) and [Aurora Patetta](https://ccl.northwestern.edu/netlogo/models/TrafficDynamics): Examines complex traffic behaviors. - **Traffic with Lane Changing** by [Carl Edwards](https://ccl.northwestern.edu/netlogo/models/TrafficWithLaneChanging): Simulates lane changing behaviors. - **Randi Wakkubura** and **Dr. Budditha Hettige**: Provided context on local traffic management strategies.
## CREDITS AND REFERENCES
- **NetLogo Model Library**: Access and explore related models at [NetLogo Models Library](https://ccl.northwestern.edu/netlogo/models). - **Uri Wilensky**: Developer of foundational traffic models. - **Francesca De Min and Aurora Patetta**: Contributors to traffic dynamics research. - **Carl Edwards**: Creator of lane changing traffic model. - **Randi Wakkubura and Dr. Budditha Hettige**: Provided insights into local traffic management.
## COPYRIGHT NOTICE
© 2024 [Srimal Fernando](https://srimal.me), [NSBM Green University](https://nsbm.ac.lk), Sri Lanka. All rights reserved.
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