Unified ITS and CV/AV Data Platform, USA

Project Overview

Telegra delivered a Unified ITS and CV/AV Data Platform in the USA to support scalable collection, storage, and access to traffic data, connected vehicle & autonomous vehicle telemetry, AV LiDAR, and video-related operational data.

The project focused on consolidating fragmented and non-standard data from multiple traffic and AV subsystems into a unified data exchange environment with a common data model, scalable ingestion, RESTful API access, and structured data retention logic.

The platform enables third-party institutions and external systems to access stored data and input processed data through a single modern interface.

Client Challenge

The project environment involved large volumes of fragmented traffic, ITS, connected vehicle, autonomous vehicle, telemetry, AV LiDAR, and video data coming from multiple subsystems and vendors.

The main challenge was that data from different sources was not standardized, making it difficult to collect, store, relate, filter, retrieve, and exchange information in a consistent way.

The key challenges included:

• large-scale ingestion of traffic and AV-related data,
• fragmented data from multiple ITS and AV subsystems,
• non-standard data formats from different sources,
• need for scalable storage of selected high-value data,
• need to associate diverse data types with specific events,
• need for third-party access to stored data,
• need for third-party systems to input processed data,
• need for a modern RESTful API for system interaction,
• need to unify Adaptive Traffic Signal Controller, camera, counter, SPaT, MAP, RSA, telemetry, AV LiDAR, and video-related data under consistent data models.

Telegra Solution

Telegra implemented a unified data platform for ITS and CV/AV data exchange.

The solution provides scalable data ingestion, structured data storage, geospatial filtering, event-based data association, and RESTful API access for third-party systems.

The solution included:

• unified ITS and CV/AV data exchange platform,
• large-scale traffic and AV data ingestion,
• database and history service for stored data,
• RESTful API for accessing stored data,
• RESTful API for input of processed data by third-party institutions,
• unified data model for each supported data type,
• geospatial filtering of data retained in the database,
• event-based tagging of stored data,
• association of diverse data sources with specific operational events,
• integration of Adaptive Traffic Signal Controller, cameras, counters, SPaT, MAP, RSA, telemetry, AV LiDAR, and video-related data,
• support for data from two different AV manufacturers.

Integrated Data Sources

The platform integrates and unifies multiple types of ITS, traffic, CV/AV, telemetry, AV LiDAR, and video-related data.

Integrated data sources include:

• Adaptive Traffic Signal Controllers,
• cameras,
• traffic counters,
• SPaT data,
• MAP data,
• RSA data,
• telemetry data,
• AV LiDAR data,
• video-related data,
• data from two different autonomous vehicle manufacturers,
• third-party processed data inputs,
• event-related traffic and mobility data.

The platform connects these data sources to a specific event context and organizes them under a consistent data model for each data type.

RESTful API & Third-Party Data Exchange

A central part of the project was a modern, user-friendly RESTful API for system interaction.

The API supports both access to stored data and input of processed data by third-party institutions.

This enables:

• access to historical and stored traffic data,
• retrieval of event-related data,
• input of processed data from external systems,
• interaction with the database and history service,
• scalable third-party data exchange,
• integration with external analytics, AI, BI, research, or mobility applications,
• single-interface access to multiple traffic and AV data sources.

Event-Based Data Association

The platform supports event-based association of stored data.

Stored data can be tagged with the related event, enabling diverse data types to be connected to a specific traffic, mobility, or operational event.

This allows users and external systems to connect information such as:

• Adaptive Traffic Signal Controller data,
• camera-related data,
• counter data,
• SPaT data,
• MAP data,
• RSA data,
• telemetry data,
• AV LiDAR data,
• video-related data,
• processed third-party data.

under the same event context.

This approach improves traceability, analysis, and usability of data collected from multiple heterogeneous sources.

Geospatial Filtering & Data Retention

The platform supports geospatial filtering of data retained in the database.

Data retention can be managed by raising an event that specifies which data should be stored permanently in the database based on geospatial areas represented through geohashes.

This enables more selective and meaningful long-term data storage.

The geospatial retention approach supports:

• filtering data by location,
• retaining data related to relevant events or areas,
• reducing unnecessary long-term data storage,
• associating retained data with specific geospatial event contexts,
• improving future retrieval and analysis of event-related data.

Unified Data Model

The platform unifies data from multiple subsystems and AV manufacturers under consistent data models.

Each data type is handled through a defined model, enabling heterogeneous data to be collected, stored, retrieved, and related in a structured way.

This supports:

• standardized data exchange,
• consistent data access,
• improved interoperability between systems,
• easier use of traffic and AV data by third parties,
• better foundation for analytics, AI, BI, research, and operational applications.

Operational Impact

The USA Unified Data Platform enables scalable data access and third-party integration through a single interface.

Operational and technical benefits include:

• unified access to fragmented ITS and CV/AV data,
• scalable large-volume data ingestion,
• consistent storage of selected traffic and AV data,
• easier third-party data access through RESTful APIs,
• ability for third-party institutions to input processed data,
• improved traceability through event-based data tagging,
• geospatial filtering of retained data,
• unified data models across heterogeneous data sources,
• better foundation for AI, BI, analytics, research, and mobility applications,
• integration of traffic, telemetry, AV LiDAR, video-related, and AV manufacturer data into a common exchange environment.

Related Software Solution Areas

• Unified ITS & Connected Vehicle Data Platforms,
• Traffic Analytics, Reporting & Operational Intelligence,
• ITS Integration & Interoperability,
• Traffic Management Center (TMC) Platforms,
• Advanced Traffic Management Systems (ATMS).

Download Case Study

Download the original PDF case study:

USA - Unified ITS and CV/AV Data Platform

Frequently Asked Questions

What is the USA Unified Data Platform case study about?

It describes Telegra’s delivery of a Unified ITS and CV/AV Data Platform for collecting, storing, accessing, and exchanging fragmented traffic, connected vehicle, autonomous vehicle, telemetry, AV LiDAR, and video-related data through a common data environment.

What problem does the platform solve?

The platform addresses the problem of fragmented and non-standard data from multiple traffic, ITS, CV/AV, telemetry, AV LiDAR, and video-related subsystems by consolidating them into a unified data exchange platform with common data models and RESTful API access.

What data sources does the platform integrate?

The platform integrates data from Adaptive Traffic Signal Controllers, cameras, traffic counters, SPaT, MAP, RSA, telemetry, AV LiDAR, video-related data, third-party processed data inputs, and data from two different AV manufacturers.

Does the platform provide RESTful API access?

Yes. The platform provides a modern RESTful API for accessing stored data and enabling third-party institutions or external systems to input processed data.

Does the platform support event-based data organization?

Yes. Stored data can be tagged with related events so that diverse data types can be connected to a specific traffic, mobility, or operational event.

Does the platform support geospatial data filtering?

Yes. The platform supports geospatial filtering of data retained in the database, including event-based retention logic using geohashes to determine which data should be stored permanently.

Is this an ATMS control platform?

This page should be positioned primarily as a Unified ITS and CV/AV Data Platform, not as a traffic control platform. It supports traffic and mobility data exchange, data ingestion, storage, API access, and third-party integration.

Does this case study support Telegra’s AI-ready traffic operations positioning?

Yes. The project supports AI-ready traffic operations by creating structured data access, unified data models, event-based data association, scalable ingestion, and RESTful API interfaces for external analytics, AI, BI, research, and mobility applications.