Mon Sep 15 18:09:57 UTC 2025: **Summary:**
Kozhikode, India faces significant traffic congestion due to outdated signalling systems. Proposals from police officers to implement AI-powered, real-time traffic management systems have been ignored due to lack of funding. These systems, costing approximately ₹5 lakh per junction, could dynamically adjust signal timings based on traffic volume, reducing delays. Experts suggest using the Road Safety Fund for these projects and highlight a Keltron proposal for a state-wide traffic management system with AI-enabled cameras. A Revenue department official advocates for a pilot study to assess the feasibility and impact of implementing such a system, potentially through public-private partnership.
**News Article:**
**Kozhikode Traffic Snarls Persist as Modernization Plans Stalled by Funding Shortages**
**KOZHIKODE, India – September 15, 2025** – Despite innovative proposals from senior police officers to overhaul Kozhikode’s outdated traffic signalling system with AI-powered technology, the city remains plagued by persistent traffic congestion. Lack of dedicated funding has left these plans, designed to dynamically manage traffic flow and alleviate bottlenecks, languishing without discussion or scientific evaluation.
Key intersections, including Mavoor Road, Eranhipalam, and Medical College, continue to rely on traditional systems ill-equipped to handle current traffic patterns, resulting in frequent snarls and extended delays, particularly during peak hours. In contrast, the Kozhikode bypass, equipped with advanced signalling, demonstrates the potential for smoother traffic flow.
Experts estimate that implementing AI-powered signalling systems would cost approximately ₹5 lakh per junction. These systems would utilize real-time vehicle counting to automatically adjust signal intervals, promising to reduce waiting times and improve overall traffic efficiency.
The Road Accident Action Forum is urging the reallocation of the underutilized Road Safety Fund towards these advanced traffic management projects. Keltron has already submitted a comprehensive proposal for a state-wide system featuring AI-enabled cameras with anti-glare filters. This system would automatically register vehicle numbers and types, modifying signal patterns independently to streamline movement and aid in enforcing traffic regulations.
A senior Revenue department official, previously associated with the Kerala Road Safety Council, recommends conducting a pilot study to evaluate the feasibility and impact of implementing such a system. This official suggests exploring a public-private partnership to establish a model junction showcasing the benefits of responsive traffic management.
With continued funding shortages, Kozhikode’s potential for a modernized and efficient traffic system remains unrealized, leaving commuters to contend with outdated infrastructure and persistent gridlock.
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