Intelligent transportation systems for traffic monitoring and signal optimization
Iteris operates a cloud-based platform for transportation infrastructure management, built on a modern hybrid-cloud architecture (AWS, Azure, Kubernetes, Docker) layered atop established transportation engineering tools (GIS, VISSIM, AutoCAD). The hiring mix—engineering-heavy with ops scaling alongside—combined with active projects focused on signal timing, arterial flow, and performance measurement suggests the company is moving beyond consulting-led delivery toward productized software and repeatable optimization workflows.
Iteris provides smart mobility infrastructure management solutions to public agencies, municipalities, and commercial transportation operators across the United States and internationally. The platform combines hardware (detection sensors, CCTV) with software (cloud-based monitoring and visualization) and professional services (signal timing design, systems integration) to help customers optimize traffic flow, improve safety, and reduce congestion. The company operates as a public entity within the Almaviva Group and covers the full lifecycle of intelligent transportation systems deployment—from planning and design through integration and ongoing performance measurement.
Iteris runs AWS and Azure cloud infrastructure with Kubernetes/Docker containerization, supported by PostgreSQL, MySQL, and ClickHouse for data layers. Engineering tools include GIS, VISSIM, and AutoCAD; operations and CRM via Salesforce and Oracle. CI/CD via Jenkins, GitLab, and Azure Pipelines.
Active projects center on traffic signal timing optimization, arterial flow improvement strategies, signal retiming, diversion route planning, system performance measurement, and special-event traffic coordination. The company is also addressing signal timing inefficiencies and CAV (connected autonomous vehicle) implementation challenges.
Iteris, Inc.'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.