MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641078675 A) filed by M R Archana Jenis; Dr. Dharavathu Radha; Dr. Sukanya S. T; Boya Venkatesh; Jayalakshmi J; Mahesh D S; Kalpita Dutta; C Gowtham; Savitha D; and S. Sangeetha on June 25, 2026, for Ai-Driven Intelligent Traffic Signal Prediction System With Audio Navigation Assistance For Enhanced Accessibility.
Inventors include M R Archana Jenis; Dr. Dharavathu Radha; Dr. Sukanya S. T; Boya Venkatesh; Jayalakshmi J; Mahesh D S; Kalpita Dutta; C Gowtham; Savitha D; and S. Sangeetha.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: The proposed invention provides an AI-driven intelligent traffic signal prediction system with integrated audio navigation assistance, developed to advance road safety, improve traffic efficiency, and promote accessible mobility for a broad range of road users including pedestrians, cyclists, visually impaired individuals, and other vulnerable participants in urban transportation environments. The system brings together artificial intelligence, computer vision, real-time traffic analytics, IoT sensor networks, and predictive modeling to anticipate traffic signal transitions, optimize traffic flow dynamically, and identify safe pedestrian crossing windows. Input data gathered from roadside cameras, vehicle-mounted sensors, GPS devices, and connected smart infrastructure is continuously fed into a deep learning-based prediction engine, which forecasts signal timing sequences, evaluates congestion patterns, and generates actionable crossing and routing intelligence. A key feature of the invention is its context-aware audio navigation module, which delivers real-time voice guidance through smartphones, wearable devices, or dedicated assistive technologies. This module provides users with timely voice alerts, safe crossing instructions, adaptive route suggestions, and accessibility-specific support tailored to individual user needs and real-time traffic conditions. By uniting predictive traffic intelligence with responsive, user- centered audio assistance, the invention meaningfully enhances situational awareness for all road users, reduces unnecessary waiting times at signal junctions, and strengthens pedestrian safety across urban environments. The system is well-suited for deployment within smart city infrastructure, intelligent transportation networks, and mobility platforms designed with inclusivity and accessibility at their core.
Disclaimer: Curated by HT Syndication.
