Projects using PostgreSQL in LahoreProjects using PostgreSQL in Lahore
Cover image for šŸš—šŸŒ Can a navigation system
šŸš—šŸŒ Can a navigation system recommend the most fuel-efficient route instead of simply the shortest one? This project was developed as part of my MPhil Remote Sensing & GIS thesis. I designed and developed an intelligent Web GIS routing system that generates and compares four alternative routes between an origin and destination and recommends the most suitable route using a Multi-Criteria Decision-Making (MCDM) approach. Instead of considering only distance, the system evaluates multiple factors such as: • 🌱 Fuel-efficiency / environmental suitability • ā± Travel duration • 🚧 Road hurdles and route conditions • šŸ“ Travel distance The alternatives are evaluated using a TOPSIS-based decision model, allowing the system to identify the route with the best overall balance rather than simply choosing the shortest path. I also integrated an AI assistant that explains route recommendations in natural language, helping users understand why one route is preferable to the alternatives. Key features: • Interactive Web GIS navigation • Four-route generation and comparison • MCDM/TOPSIS route ranking • Fuel-efficient route recommendation • Route distance and travel-time analysis • Road-condition / hurdle consideration • AI-generated route explanations • Interactive route visualization • Decision-support interface for sustainable mobility Built with Python, Django, GIS, Leaflet/OpenStreetMap, MCDM and AI integration. This research explores how GIS + decision science + AI can support smarter and more sustainable urban mobility.
0
17