Traffic Monitoring Video Software for Smart Cities & ATMS Infrastructure

Video Infrastructure for Advanced Traffic Management Systems (ATMS)

Departments of Transportation (DOTs) rely on large camera networks to monitor traffic and respond to incidents. Most of those networks were built over many years, resulting in a mix of devices, formats, and vendors.

Wowza provides the streaming media infrastructure that powers Advanced Traffic Management Systems. We help developers and transportation teams ingest video from existing cameras, convert it into consistent, secure streams, and deliver it reliably into ATMS platforms and public systems, without replacing field hardware.

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Trusted by thousands of customers for mission-critical camera networks across public safety, defense, healthcare, and enterprise security. 

The Media Backbone for ATMS and Traffic Operations 

Connect & Ingest

Modernize existing camera networks without replacing hardware.

Many DOTs operate long-standing roadway camera networks that include both modern and legacy traffic monitoring software. Wowza ingests and standardizes heterogeneous video streams into consistent internal formats, bridging protocols without requiring rip-and-replace upgrades.

  • Fixed roadway and intersection cameras
  • Transit and corridor cameras
  • Road weather and tolling cameras
  • Drones and mobile units
  • RTSP, RTMP/S, MPEG-TS, SRT, WebRTC, UDP

Standardize legacy and modern infrastructure into a unified ATMS-ready video layer.

Process & Secure

Normalize and secure video for ATMS workflows

Modern ATMS environments require reliable, real-time ingestion from thousands of field devices – some of which may transmit over older protocols. Wowza can act as the normalization and security boundary immediately after capture.

  • Protocol conversion and bitrate normalization
  • Secure internal redistribution of streams
  • Recording and clipping where required
  • Metadata hooks for analytics, object detection, and ATSPM integration
  • API-driven automation for large camera fleets

Enable phased modernization while preserving existing field investments.

Deliver at Scale

Support Traffic Management Centers, edge nodes, and public systems

Traffic video must simultaneously support internal operations and public-facing systems. Wowza enables efficient, scalable delivery across multiple endpoints.

  • Low-latency delivery for incident verification
  • HLS, LL-HLS, WebRTC, and DASH outputs
  • Regional origin clusters to shorten network paths
  • Cache-friendly architecture to reduce duplicate backbone traffic
  • Predictable performance across high stream counts

Designed for sustained, high-volume ATMS deployments.

Common ATMS & Smart Traffic Use Cases

Advanced Traffic Management Systems (ATMS)

Real-time monitoring and adaptive traffic control

Traffic Management Centers (TMCs)

Centralized visibility across regional camera networks

Adaptive Signal Control & ATSPM

Video-as-a-sensor integration for performance optimization

Incident Detection & Queue Management

Faster verification and reduced secondary crashes

Automated Tolling & Corridor Monitoring

Integrated video delivery across tolling infrastructure

Public Traveler Information Systems

Controlled publishing alongside internal operations

Legacy Modernization Without Rip-and-Replace

Extend the life and value of existing infrastructure.

  • Accepts a broad range of legacy and modern protocols
  • Normalizes diverse camera fleets into a unified layer
  • Enables incremental modernization aligned with budget realities

Operational Automation

Large-scale camera networks require centralized, programmable control.

  • API-driven provisioning and bulk configuration
  • Automated monitoring and health checks
  • Scriptable stream rebuild workflows

Scale & Network Efficiency

ATMS environments generate sustained, high-volume traffic video.

  • Designed for hundreds of streams per server
  • Dual-rendition support for internal and public feeds
  • Distributed origins and perimeter caching to reduce backbone strain

Deployment Flexibility

Support roadside, regional, and centralized architectures.

  • On-prem, edge, hybrid, and regional cluster deployment
  • Integrates into centralized ATMS and ITS environments

Built for Scalable, Efficient ATMS Video Infrastructure

Advanced Traffic Management Systems depend on reliable, high-volume video infrastructure. Wowza enables DOTs, transportation agencies, and system integrators to modernize legacy camera networks, automate operations, and deliver traffic video at scale, supporting safer, more efficient roadways.

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Modernizing ATMS Infrastructure Without Replacing Cameras

Transportation agencies often need to upgrade performance, security, and automation without destabilizing existing camera investments.

Wowza functions as the media normalization and distribution layer between field capture and ATMS application logic.

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Deploy Wowza:

Immediately after camera capture to standardize and secure feeds
Within regional origin clusters to reduce network congestion
As the authoritative origin behind public-facing delivery caches
As a programmable fabric integrated into traffic management software

Power your Traffic Monitoring Video Software with Confidence. 

What is a smart traffic management system?

A smart traffic management system uses live camera feeds, sensors, and analytics to monitor traffic in real time and adjust signals, signs, and routing to reduce congestion. Cameras feed video to a central operations center where operators or AI systems detect incidents, count vehicles, and identify bottlenecks. The output drives signal timing changes, electronic message signs, and traveler information services. 

How do traffic cameras work? 

Traffic cameras are cameras mounted on signal poles, overpasses, and highway gantries that continuously stream video to a transportation management center or advanced traffic management system (ATMS). Modern installations combine wide-angle monitoring cameras with PTZ cameras that operators can pan and zoom to inspect specific incidents. The feeds run continuously, so an operator can pull up any view across the network within seconds.

What are intelligent transportation systems? 

Intelligent transportation systems, often called ITS, are the broad set of technologies that bring sensing, communication, and computing into transportation infrastructure. Video monitoring is one major component, alongside vehicle detection sensors, ramp metering, electronic toll collection, and connected-vehicle communications. The goal is to manage transportation networks more efficiently and safely without simply adding more physical lanes. These are sometimes also called advanced traffic management systems (ATMS).

Can AI detect traffic incidents from camera feeds? 

Yes, AI can analyze live camera feeds to detect stopped vehicles, wrong-way drivers, debris in roadways, and unusual congestion, then alert operators automatically. The video is sent to inference services that watch for trained patterns and trigger alarms within seconds. This shifts traffic operations from reactive (waiting for 911 calls) to proactive (responding before drivers can even report).

Are public traffic camera feeds shared with the public? 

Many transportation departments share traffic camera feeds publicly through 511 websites, traveler information apps, and news media partnerships. The shared feeds are typically lower resolution or reduced frame rate to manage bandwidth and protect operational details. They are distributed through a public network separate from the internal operations video. Some feeds, like those of sensitive areas, tunnels, and secure facilities, are never made public.

How is traffic camera video stored and reviewed? 

Traffic camera video is typically retained for short windows, often a few days to a few weeks, because the storage requirements for continuous footage from thousands of cameras add up quickly. Incident footage is flagged and preserved for longer, sometimes years, for use in crash investigations and insurance claims. Operators often retrieve video by searching for the camera location and time range for the footage.