Neurealm architected and implemented a full-stack traffic management platform for smart cities, integrating real-time signal data and external sources to enable density-based traffic control and analytics.

Business Context

Urban traffic systems struggle with congestion, inefficient fixed-timing signals, and lack of real-time adaptability as cities grow and mobility demands increase. Municipalities and smart city integrators require a scalable platform that can ingest diverse traffic data, support analytics, expose APIs for downstream applications, and optimize signal operations to improve flow and reduce delays.

Solutions

Neurealm built the platform infrastructure, collected and normalized traffic data from signals and external sources (like Google Maps), and published Kafka streams for downstream processing. They incorporated adaptive algorithms to assess traffic density and dynamically adjust signal timing, provided analytics support, and exposed APIs so developers could build tailored smart traffic management use cases atop the core platform.