Welcome to the realm of Smart Adaptive Traffic Management! This revolutionary project, meticulously crafted with Python and YOLO v8, introduces an intelligent traffic management system that dynamically adapts to real-time traffic conditions. By harnessing the power of live CCTV feeds, the system optimizes traffic flow by intelligently adjusting signal timings at intersections. At the heart of the project lies the intuitive Admin GUI, empowering users to effortlessly monitor and control traffic operations.
-
Real-time Traffic Analysis: The project employs YOLO v8, a state-of-the-art object detection framework, to meticulously analyze live CCTV feeds. This results in precise vehicle detection and classification, forming the cornerstone of effective traffic analysis.
-
Adaptive Signal Timing: With a deep understanding of traffic density and vehicle types, the system dynamically recalibrates signal timings. This process minimizes congestion, reduces travel time, and maximizes road throughput.
-
Admin GUI: The user-friendly Admin GUI serves as a window into the system's operations. It provides real-time access to live images, comprehensive traffic statistics, and enables users to exert control over traffic signals.
-
Simulation Demo: A captivating simulation provides a tangible glimpse into the dynamic world of traffic management. Witness the adaptive signal timings in action at a simulated 2-way intersection, showcasing the system's effectiveness.
-
Live Feed Analysis: YOLO v8 processes live feeds from strategically placed CCTV cameras. It efficiently detects and classifies vehicles, gathering real-time data on traffic conditions.
-
Signal Time Optimization: Armed with a comprehensive understanding of traffic dynamics, the system performs complex algorithms to calculate optimal signal timings. These timings reflect the current traffic situation, ensuring efficient traffic flow.
-
Admin GUI: The intuitive graphical interface provides users with a centralized control hub. Users can view real-time images, access detailed traffic statistics, and influence traffic signals to align with the dynamic traffic landscape.
- Begin by installing project dependencies as outlined in the repository's instructions.
- Launch the main script to initiate live feed analysis and real-time signal optimization.
- Access the Admin GUI to interact with the system directly. This interface facilitates live image streaming, offers a wealth of traffic insights, and empowers users to influence signal timings.
- Admin GUI:
Smart.Adaptive.Traffic.Management.System.mp4
- Delve into the functional and witness the convergence of technology and transportation management. Experience firsthand the fluidity of live traffic control and monitoring.
- Traffic Simulation: Immerse yourself in the captivating Simulation Demo.
Simulation.mp4
- Experience the adaptive traffic signal system's prowess as it orchestrates seamless traffic management at a simulated 2-way intersection.
-
Envisioned for the project's future are integrations with smart city infrastructure, enabling holistic and city-wide traffic optimization solutions.
-
The implementation of machine learning models for predictive traffic analysis is poised to elevate the system's proactive traffic management capabilities.
-
Expansion efforts aim to encompass more intricate intersections and intricate road networks, fortifying the system's applicability and impact.
For inquiries, collaboration prospects, or simply to discuss the project's nuances, please feel free to get in touch with the project author.
πππππ¦ Keep traffic flowing seamlessly with the transformative power of Smart Adaptive Traffic Management! ππ
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent