Overview
Designed and developed dynamic, interactive map components for real-time vehicle tracking and geospatial data visualization. Vahan Shakti is a large-scale fleet analytics and monitoring platform focused on performance, scalability, and actionable insights for fleet operations.
The system is currently optimized to handle ~200,000 active vehicles with smooth map interactions and real-time updates.
Key Features
- Real-time vehicle location tracking at scale
- Intelligent clustering for dense vehicle data
- Heatmap visualization for movement and activity analysis
- Route plotting with interactive paths
- Fleet analytics dashboard with live insights
- Geofencing and location-based monitoring
Technical Implementation
Mapping Integration
Integrated MapmyIndia SDK to deliver advanced and reliable mapping functionality, including:
- Custom vehicle markers with dynamic states
- High-performance clustering for large datasets
- Real-time location updates with minimal latency
- Interactive route visualization and playback
- Geofencing for operational boundaries
API Integration
- Integrated RESTful APIs for continuous real-time data flow
- Handled large-scale geospatial datasets efficiently
- Optimized state management for frequent live updates
- Ensured seamless sync between map state and analytics data
Performance Optimization
- Implemented debounce-based load optimization to reduce unnecessary API and UI re-renders
- Optimized page load performance for map-heavy views
- Used clustering and lazy rendering to support 200K+ vehicles
- Improved frontend responsiveness under high data load
- Implemented efficient caching strategies for smoother navigation
Tech Stack
- React.js
- JavaScript
- MapmyIndia SDK
- RESTful APIs
- Performance optimization & utility libraries
Results
- Successfully deployed a scalable real-time vehicle tracking system
- Supported live monitoring for ~200,000 vehicles
- Significantly improved map rendering and page load performance
- Enhanced fleet management efficiency through visual analytics
- Delivered smooth user experience even under heavy data loads
Project Gallery
[Project screenshots to be added]