Traffic Optimization for Cities - Iveda

Cities need real‑time traffic intelligence to reduce congestion, improve safety, and optimize roadway performance, but traditional monitoring solutions are expensive, infrastructure‑heavy, and provide limited data. Fixed road sensors or inductive loops require costly installation and maintenance, while manual traffic counts only capture isolated snapshots of conditions. Many municipalities lack the budget or logistical capacity to deploy new hardware at scale. This leaves traffic engineers and planners making decisions without the timely, accurate information needed to address everyday congestion, inefficient signal timing, and unsafe driving behaviors.

Iveda's Traffic Optimization solution addresses these challenges by leveraging existing intersection cameras and advanced AI video analytics to deliver a comprehensive traffic optimization platform — without expensive sensor installations. By processing live video feeds using AI models, the system transforms standard CCTV infrastructure into a real‑time traffic intelligence engine.

The platform performs precise vehicle counting, speed detection, and movement tracking across all lanes and directions at every monitored intersection. It aggregates this data into intuitive dashboards that overlay live traffic conditions and historical trends onto maps, helping traffic engineers quickly identify congestion points, understand peak flow patterns, and evaluate intersection performance.

Beyond traffic visualization, IvedaAI enhances road safety through automated violation detection. The system identifies and logs speeding and red‑light violations, and it can even detect vehicle collisions by recognizing when two vehicles collide and stop moving. Each violation is tagged with documented evidence, enabling rapid enforcement and response.

Cities can customize monitoring parameters by intersection — defining lane directions, signal phases, speed thresholds, and regions of interest to align with engineering policies and safety goals. With real‑time analytics and automated alerts, traffic management teams gain the insights necessary to adjust signal timing, plan infrastructure improvements, and prioritize enforcement actions — all while maximizing the value of existing camera investments.