System Requirements Document (SRD)

Project Name: Sonic-Traffic

1. Introduction

Urban traffic congestion is a persistent issue, causing delays, fuel waste, and obstruction for emergency vehicles. Sonic-Traffic aims to revolutionize traffic management by leveraging swarm intelligence, where each intersection acts as an intelligent agent to optimize traffic flow dynamically. This document outlines the requirements for the Sonic-Traffic system, ensuring it addresses real-time traffic density, prioritizes emergency vehicles and public transport, and integrates seamlessly with existing infrastructure.

This SRD is tailored for t Nani, based in India, where urban traffic challenges are particularly pronounced. The system will account for locale-specific defaults such as traffic patterns, emergency protocols, and public transport schedules.

2. System Overview

Sonic-Traffic is a swarm intelligence-based traffic management system designed to optimize urban traffic flow in real time. Each intersection operates as an intelligent agent, equipped with IoT-enabled devices, sensors, and cameras, to collect and analyze traffic data. The system dynamically adjusts traffic signals based on density, prioritizes emergency vehicles and public transport, and ensures equitable traffic distribution across the network.

Key features include:

• Real-time traffic density analysis.
• Dynamic signal adjustments.
• Emergency vehicle prioritization.
• Public transport route optimization.
• Integration with existing infrastructure.

3. Functional Requirements

• As a User, I should be able to view real-time traffic updates for my route.
• As a User, I should be able to receive notifications about emergency vehicle routes to avoid delays.
• As an Admin, I should be able to monitor traffic density across all intersections.
• As an Admin, I should be able to override signal controls in case of emergencies.
• As a Guest, I should be able to access public transport schedules and updates.
• As a System, I should dynamically adjust traffic signals based on real-time data.
• As a System, I should prioritize emergency vehicles and public transport dynamically.
• As a System, I should integrate with existing traffic cameras and sensors for data collection.

4. User Personas

4.1 Admin

• Role: Traffic management authority.
• Responsibilities: Monitor traffic density, override signals during emergencies, ensure system functionality.

4.2 User

• Role: Daily commuter.
• Responsibilities: Access real-time traffic updates, receive notifications about emergency routes.

4.3 Guest

• Role: Occasional user or tourist.
• Responsibilities: Access public transport schedules and updates without personalized notifications.

5. Visuals Colors and Theme

The Sonic-Traffic system will adopt a modern, clean, and intuitive design. The proposed color palette includes:

• Primary Colors:
  • Deep Blue (#003366) for trust and reliability.
  • Bright Green (#00FF00) for dynamic optimization.
• Secondary Colors:
  • White (#FFFFFF) for clarity and simplicity.
  • Light Gray (#D3D3D3) for neutral backgrounds.
• Accent Colors:
  • Red (#FF0000) for emergency alerts.
  • Yellow (#FFD700) for public transport highlights.

The theme will focus on minimalism, ensuring users can quickly access information without distractions.

6. Signature Design Concept

Interactive Traffic Flow Map with Swarm Intelligence Visualization

The Sonic-Traffic homepage will feature a real-time, interactive traffic flow map that visualizes swarm intelligence in action.

Key Features:

• Dynamic Traffic Visualization: Users will see intersections represented as nodes, with traffic density displayed via color gradients (green for smooth flow, red for congestion).
• Swarm Intelligence Animation: Intersections will pulse and connect dynamically, showcasing cooperative optimization.
• Emergency Vehicle Tracking: Emergency routes will be highlighted in flashing red, with real-time updates.
• Public Transport Integration: Public transport routes will appear as animated lines, with stops and schedules accessible via hover interactions.
• Micro-Interactions: Clicking on an intersection node will reveal detailed traffic stats, including density, signal timings, and prioritized routes.

User Experience:

The homepage will feel alive, with smooth transitions and animations that mimic the flow of traffic. The design will evoke a sense of control and efficiency, making users feel empowered to navigate urban congestion.

7. Non-Functional Requirements

• Performance: The system should process traffic data and adjust signals within 2 seconds.
• Scalability: The system must support up to 10,000 intersections simultaneously.
• Reliability: Ensure 99.9% uptime for critical operations.
• Security: Protect user data and system controls with end-to-end encryption.
• Localization: Adapt to Indian traffic norms, including emergency protocols and public transport schedules.

8. Tech Stack

Frontend

• React for Web.
• React Native for mobile applications.

Backend

• Python with FastAPI for efficient data processing.

Database

• MySQL for structured data (e.g., traffic stats, schedules).
• MongoDB for unstructured data (e.g., sensor logs).

AI Models

• GPT 5.2 for user-friendly responses.
• Claude 4.5 Opas for coding and academic tasks.
• Google Nano Banana for generating traffic-related visuals.

AI Tools

• Litellm for LLM routing.
• Langchain for AI workflow orchestration.

Local Orchestration

• Docker and docker-compose for containerization.

Server-Side Orchestration

• Kubernetes for scalable deployment.

9. Assumptions and Constraints

Assumptions

• Existing traffic cameras and sensors are compatible with the system.
• Emergency vehicle routes are accessible via GPS integration.
• Public transport schedules are available in digital format.

Constraints

• Limited budget for hardware upgrades.
• System must comply with Indian traffic regulations.
• Deployment must prioritize high-density urban areas initially.

10. Glossary

• Swarm Intelligence: A decentralized system where individual agents work collaboratively to achieve optimal outcomes.
• IoT: Internet of Things, referring to interconnected devices that collect and exchange data.
• Intersection Node: A traffic signal point equipped with intelligent systems for data collection and decision-making.
• Dynamic Signal Adjustment: Real-time changes to traffic signal timings based on current traffic density.

This document reflects the updated requirements for Sonic-Traffic, incorporating t Nani's vision for a smarter, equitable, and lifesaving traffic management system.