TraffiSim

Project Overview

The Intelligent Traffic Simulation System is a Python-based simulation tool that models vehicle movement at an intersection using pygame. The system accurately simulates traffic flow, congestion, and vehicle wait times by incorporating arrival rates, signal phases, turn probabilities, and multiple-lane logic. The project aims to provide a detailed analysis of traffic patterns under different conditions, helping researchers, engineers, and city planners evaluate intersection performance.
Unlike SUMO this is computationally inexpensive and made with an Indian mentality in mind

This simulation includes:

• Multi-lane simulation for more realistic traffic modeling.

• Adaptive signal phasing for traffic control optimization.

• Vehicle arrival modeling based on Poisson distribution.

• Turning probabilities to simulate real-world navigation.

• Real-time visualization to observe vehicle flow dynamically.

• Data recording in CSV format for further statistical analysis.

Why Is This Important?

Urban areas face increasing traffic congestion, leading to delays, increased fuel consumption, pollution, and accidents. Traditional traffic management relies on fixed-timing signals, which are inefficient under variable traffic conditions. This simulator allows for testing and evaluating different traffic signal strategies before implementing them in real-world scenarios.

Key Benefits

1. Improves Traffic Flow Analysis

   • Helps evaluate different traffic signal timings.

   • Provides insight into queue lengths, average wait times, and bottlenecks.

2. Enables Efficient Urban Planning

   • Supports research on smart traffic management strategies.

   • Helps policymakers make data-driven decisions.

3. Simulates Real-World Scenarios

   • Accounts for vehicle arrival randomness, lane-based queueing, and turn-based decision-making.

4. Reduces Implementation Costs

   • Testing traffic solutions in a simulated environment is cost-effective compared to real-world experiments.

5. Optimizes Traffic Signal Timing

   • Helps minimize vehicle wait time and increase throughput at intersections.

6. Supports Autonomous Vehicle Research

   • Provides a platform to study autonomous vehicle behavior in traffic systems.

Current Traffic Challenges Addressed

• Traffic congestion in cities due to inefficient signals.

• Long wait times at intersections leading to fuel wastage.

• Lack of real-time adaptive traffic control systems.

• Difficulty in testing new signal algorithms in real-world environments.

Why Is This Project Unique?

Unlike generic traffic simulators, this project integrates a high level of customization with options to configure:

• Single-lane or multi-lane intersections.

• Three-way or four-way intersections.

• Adaptive signal phasing for more realistic traffic control.

• Exportable statistical data for in-depth traffic analysis.

• Inbuilt analyzer to perform data analysis