Open Source Cloud-Based Traffic Data Processing and Analytics Platform

The client requires an efficient method to transform complex, raw traffic pattern data obtained from external data providers into a usable, actionable format. The current raw data is difficult to interpret and integrate into existing city management systems, leading to missed opportunities for traffic optimization and congestion reduction. They seek a scalable, open-source solution that is quick to deploy and easy for multiple city agencies or peer cities to adopt and extend.

A municipal government seeking to leverage raw traffic data to improve urban mobility and traffic management through scalable, accessible analytics solutions.

• Develop a cloud-first infrastructure to process and interpret raw traffic pattern data, making it readily queryable and actionable.
• Create an open-source, shareable platform that allows rapid deployment by different cities, with an aim to deploy within less than one hour.
• Implement an API layer to facilitate easy access to processed traffic data for various analytics and decision-making tools.
• Automate deployment workflows to enable seamless scaling and updates across multiple municipal or city partners.
• Collaborate with multiple stakeholders to develop a shared product roadmap for continuous improvement and scalability.
• Enable cities to analyze traffic patterns in real-time or near real-time to support traffic management, congestion reduction, and urban planning.

• Data ingestion module capable of handling raw, complex traffic pattern data from external sources.
• Automated data transformation pipeline to convert raw data into structured, queryable formats, stored in a relational database.
• Hosting an open-source API to access processed traffic data for various applications and analytical tools.
• Deployment automation scripts to enable rapid (under one hour) setup for new city deployments.
• Collaborative platform architecture that supports contributions from multiple urban partners and helps extend functionality.

• External data sources providing raw traffic pattern data (e.g., Waze or similar providers)
• APIs for city systems or analytics dashboards to consume processed data

• System scalability to handle increasing data volume and user requests
• Deployment time of less than one hour for new city integrations
• High availability and fault tolerance
• Security measures to protect data privacy and access control
• Performance metrics ensuring data processing and query response times meet usability standards

The platform aims to empower cities with rapid access to actionable traffic data, leading to improved traffic flow, congestion reduction, and urban mobility. With over 80 collaborators globally and 13 city deployments, the solution demonstrates significant scalability, ease of adoption, and collaborative development potential, enabling a broader impact on urban transportation management and planning.