Roas aims to revolutionize the operational efficiency of the Delhi Transport Corporation (DTC) through an AI-powered, automated scheduling and route optimization system. By addressing the current challenges of manual operations, Roas provides a smart, scalable, and efficient solution to modernize public transportation in Delhi.
The Delhi Transport Corporation currently faces critical issues such as:
- Manual and error-prone scheduling.
- Inefficient route planning.
- Delayed emergency responses.
Roas addresses these with a centralized, intelligent system leveraging Artificial Intelligence (AI), Machine Learning (ML), real-time data analytics, and Geographic Information Systems (GIS).
- Dynamic assignment of buses, drivers, and staff.
- Takes into account driver comfort, rest periods, historical data, and shift balancing.
- Reduces human error and enhances operational reliability.
- Uses ML and GIS to identify the best routes in real-time.
- Considers traffic, road quality, peak hours, and substations.
- Continuously adapts to real-world changes for minimum congestion and delay.
- Automatically detects and manages emergencies like breakdowns.
- Notifies relevant staff (e.g., mechanics) instantly.
- Dynamically reroutes buses and resources to maintain service flow.
- Web-based platform to:
- Monitor live bus locations.
- View staff assignments and schedules.
- Manage emergency requests.
- Generate analytical reports for performance and planning.
- Real-time schedule updates, route info, and colleague coordination.
- Emergency reporting interface for quick alerts.
- Enhances communication and responsiveness on the ground.
- Frontend: HTML, CSS, JavaScript (within
Templatesandstatic) - Backend: Python, Django Framework
- Database: SQLite3 (
db.sqlite3) - AI/ML: For scheduling and route optimization
- GIS Integration: For geospatial routing
- Real-Time Data Processing: Via APIs and live traffic inputs
Roas integrates:
- AI-driven predictive modeling for staff and route scheduling.
- Real-time adaptive algorithms for route finding (
Raasengine). - Emergency automation system with minimal human intervention.
- Scalable cloud architecture designed to handle large volumes of data and real-time interactions.
This solution provides continuous optimization, setting it apart from traditional static scheduling systems.
| Problem | Roas Solution |
|---|---|
| Manual scheduling errors | AI-based automated staff and vehicle scheduling |
| Inefficient routing | ML-based route optimization with real-time data |
| Emergency response delays | Automated alerts and rerouting using predefined protocols |
| Lack of transparency | Live dashboard and staff-facing applications |
| Scalability issues | Cloud-ready, modular architecture for future growth |
Roas is a next-generation transport management system tailored to meet the needs of one of India's largest public transport providers. By integrating cutting-edge technologies with user-centric design, it promises to deliver efficiency, reliability, and intelligence at scale.
Empowering DTC to serve millions with smarter, faster, and more reliable transit solutions.