Preliminary market engagement notice089418-2026
Surface Intelligent Transport System (SITS) – Video Analytics
BuyerTransport for London
- Market engagement closes
- Published22 Sep 2026
- Estimated value
- Value not published
- Contract term
- 1 Oct 2027 to 1 Oct 2032 (5 years)
- Lots
- Not divided into lots
- Categories
- 34923000Road traffic-control equipment
- 45316210Installation of traffic monitoring equipment
- 63712710Traffic monitoring services
- 72260000Software-related services
- Regions
- UK-wide
The buyer’s description
“Strategic Objective As part of the Surface Intelligent Transport Systems (SITS) programme, the SITS Video Analytics project seeks to provide an enhanced understanding of transport demand, road-user movements and network performance through the deployment of advanced video analytics technology. The capability will support TfL’s operational, strategic and policy objectives by delivering high-quality data and insights to improve network management, transport planning, road safety analysis and performance monitoring. High-Level Scope & Open Market Exploration TfL is currently technology- and model-agnostic. We are approaching the market to explore the full spectrum of available solutions. Areas we wish to investigate with suppliers include: Deployment Architecture: Assessing the feasibility and benefits of edge-based analytics, cloud-processing, or hybrid environments using existing TfL infrastructure. Delivery Models: Exploring various commercial structures, including fully managed Software-as-a-Service (SaaS), bespoke software deployment, or combined hardware/software solutions. Data & Analytics Maturity: Understanding current market capabilities regarding multi-modal classification (e.g., separating cargo bikes, e-scooters, pedestrians, and heavy freight) and trajectory tracking. How to Participate Interested suppliers are invited to review the Market Brochure and complete the Market Supplier Questionnaire (MSQ). To request copies of both the Market Brochure and the MSQ, please email videoanalytics@tfl.gov.uk.”