Research Domain
& Methodology

Fixed-cycle traffic systems fail under variable demand — queues build unpredictably while low-demand directions receive unnecessary green time.

No integrated citizen-facing platform in Sri Lanka combines emergency dispatch, digital evidence custody, court scheduling, and AI legal assistance in one system.

Existing chatbot systems lack regional language support, code-mixed input handling, and integration with police voice record entry.

Traditional traffic policing uses subjective officer deployment — no data-driven spatial analysis or automated assignment based on violation density.

Design and implement a complete smart traffic management system with real-time monitoring, two-junction simulation, adaptive signal timing, and ESP32 hardware output synchronization.

Build an integrated citizen safety platform with Haversine-based SOS dispatch, private-cloud evidence vault, court scheduling with idempotent reminders, and Flan-T5 AI legal assistant.

Develop a multilingual AI chatbot supporting English, Sinhala & Singlish for traffic-law queries, with voice interaction and a police voice entry system for field documentation.

Implement spatio-temporal K-Means++ officer deployment with OCR-based fine processing, GPS evidence collection, automated repeat-offender warnings, and buddy-system pairing.