Challenge background
Traffic management is crucial for preserving road capacity, enhancing safety, and reducing congestion in urban areas like Jakarta, Indonesia. This project aims to leverage advanced technologies and data-driven solutions to address the challenges associated with traffic management in the city.
The problem
Jakarta faces several traffic-related issues, including congestion, accidents, and road defects. These problems lead to inefficiencies, safety hazards, and increased travel times for residents. The primary problems to tackle are: 1. Vehicle speed and category classification to enforce speed limits. 2. Traffic density classification for efficient traffic redirection. 3. Pothole detection for road maintenance and safety.
Goal of the project
- Develop machine learning models for vehicle category classification and detection.
- Create a model for traffic density classification.
- Implement a pothole object detection system.
- Develop a user-friendly web application for real-time traffic management.
- Investigate the possibility of future developments like road lane instance segmentation, plate number recognition, and vehicle tracking.
Project timeline
- 1
Week 1
Project Setup and Data Collection: Set up the project repository and gather relevant datasets.
- 2
Week 2
Data Preprocessing and Model Planning: Preprocess the data and plan the machine learning models.
- 3
Week 3
Vehicle Category Classification Model: Develop and train the vehicle category classification model.
- 4
Week 4
Traffic Density Classification Model: Create the traffic density classification model.
- 5
Week 5
Pothole Detection Model: Implement the pothole object detection model.
- 6
Week 6
Web Application Development: Design and develop a user-friendly web application.
- 7
Week 7
Testing, Documentation, and Future Planning: Conduct testing, document the project, and plan future developments.
What you'll learn
- Improved understanding of deep learning model development and evaluation.
- Proficiency in using PyTorch, OpenCV, and other relevant libraries.
- Experience in creating user-friendly web applications.
- Knowledge of traffic management challenges and solutions.
- Collaboration and project management skills through teamwork on a complex project.