Comprehensive Project Report: Real-Time Monitoring Traffic System (RTMTS)
Index
1. Project Overview
2. Project Description
3. Key Milestones
4. Use-Case And Flowchat Diagrams & System Functionality
5. Technology Stack Used
6. Expected Benefits & Outcomes
7. Conclusion
8. Project Team & Developer Details
Project Overview
The Real-Time Monitoring Traffic System (RTMTS) aims to enhance traffic management in Junagadh
city using AI-driven adaptive signals, real-time monitoring sensors, and automated emergency
alerts. The system is designed to reduce congestion, improve road safety, and optimize vehicle
movement, particularly near railway crossings and high-traffic zones.
Project Description
RTMTS utilizes sensor-based monitoring, AI-based adaptive traffic signals, and GSM-based
emergency alerts to manage real-time traffic. The system incorporates a two-light indicator system
(Red & Green) to optimize traffic control, reduce congestion, and enhance emergency vehicle
passage.
Key Milestones
1. Problem Identification & Research (Week 1-2) – Traffic analysis and peak-hour identification.
2. System Design & Component Selection (Week 3-4) – AI, Arduino, sensors, and GSM
integration planning.
3. Hardware Setup & Prototype Development (Week 5-6) – Sensor and signal control
development.
4. Software Development & AI Integration (Week 7-8) – AI-driven traffic light control and GSM
programming.
5. Testing & Optimization (Week 9-10) – Field trials and performance optimization.
6. Final Deployment & Performance Monitoring (Week 11-12) – System deployment and real-
time adjustments.
7. Expansion & City-Wide Implementation (Ongoing) – Scaling to more intersections and smart
city integration.
Use Case Diagram & System Functionality
Actors:
• Driver – Uses the road, follows traffic signals.
• Traffic Management System – Controls signals, receives sensor data.
• Emergency Vehicles – Priority clearance via AI-driven signals.
• Railway Authority – Provides train schedule data.
• Government Officials – Monitors system and implements optimizations.
System Functionality:
1. Smart Traffic Signal System – AI and sensors regulate signals based on vehicle density.
2. Railway Crossing Management – Automated alerts and signal sync with train schedules.
3. Honking Detection & Noise Control – Monitors excessive honking and sends reports.
4. AI-Based Traffic Optimization – Adaptive control to minimize waiting time and congestion.
Diagram’s
1. Flowchart
2. Image/solution
Technology Stack Used
• Microcontroller: Arduino UNO
• Sensors: IR, Ultrasonic, Sound Sensors
• Communication Module: GSM for emergency alerts
• AI Model: Machine Learning for adaptive signals
• Display System: LCD panels for real-time traffic updates
• Traffic Signal Control: Two-Light Indicator System (Red & Green)
Expected Benefits & Outcomes
Optimized traffic flow through AI-driven signal adjustments. Reduced congestion & travel
time by adaptive signaling. Enhanced road safety at railway crossings and accident-prone areas.
Lower fuel consumption & pollution by reducing idling at signals. Improved emergency
response through AI-prioritized clearance. Simple yet effective two-light system ensures easy
scalability.
Conclusion
RTMTS is a scalable, AI-driven, and cost-effective solution for improving urban traffic management
in Junagadh. With real-time monitoring, AI-powered adaptive signals, and automated alerts, the
system aims to create a smarter, safer, and more efficient traffic flow in the city.
Project Team & Developer Details
Project Developers (7 Members):
1. VORA JENISH JAYESHBHAI ( Team_ Leader) ER.NO: 231023107043
2. MESVANIYA AASTHA KAUSHIKKUMAR ER.NO: 221020107007
3. MULASIYA FORAM VIJAYBHAI ER.NO: 231023107021
4. THESIYA DARSHIT ASHOKBHAI ER.NO: 221020107010
5. FOFANDI BHARGAV VINODBHAI ER.NO: 221020107005
6. VAISHNAV KRISHNA HIMANSHUBHAI ER.NO: 241023107024
7. KHICHADIYA PARI KAMLESHBHAI ER.NO: 241023107024
