Cyberabad explores AI-driven predictive traffic system to forecast congestion, optimise signals

Cyberabad explores AI-driven predictive traffic system to forecast congestion, optimise signals

The Cyberabad Police reviewed the adoption of an artificial intelligence-based predictive traffic management system capable of forecasting congestion, simulating real-time road scenarios and optimising traffic signal timings across the commissionerate.

The proposal, aligned with European standards, was reviewed at a meeting at the Police Smart Integrated Operations Centre (PSIOC). Cyberabad Police Commissioner M Ramesh directed officials to study the feasibility of introducing intelligent traffic technologies to strengthen congestion management, improve enforcement efficiency and enhance overall road safety.

During the session, Lucas Ambul, chief executive officer of Zurich-based mobility technology firm Transcality, presented AI-driven solutions designed to analyse traffic patterns, predict build-ups, and dynamically regulate signal cycles for smoother vehicular movement. The system can model and simulate traffic situations in real time, enabling both immediate interventions and long-term planning, particularly in view of upcoming infrastructure expansion in Cyberabad.

Senior officers, including DCP (Administration) T. Annapurna, DCP (Traffic) 1 Ranjan Ratan Kumar and ADCP (Traffic) Madhapur Hanumantha Rao, attended the review meeting. Representatives from the Administrative Staff College of India also participated in the discussions on integrating advanced analytics into the region’s traffic management framework.