See.Sense contribution to the 'Integrated Connected Data for Safer More Efficient Transport Management' project

We are delighted that this project is short-listed in the ITS UK Better Mobility through Technology Award for 2025

The iMOVE60 project — Integrated Connected Data for Safer, More Efficient Traffic Management Operations — is world-leading research by a multi-party government led team in Australia, which examines untapped data sources with the potential to revolutionise transport management. Examining how to better leverage existing data and technology; and embracing the opportunities offered by connected vehicles; the project determined how data will deliver safer, faster and more efficient road travel, shaping a future of seamless mobility. 

See.Sense contributed the bicycle AI-enabled sensor dataset used in the project’s cycling safety and efficiency analysis. This dataset, collected from around 1,000 cyclists in Melbourne between 2021 and 2024, provided high-resolution insights into cyclist behaviour, safety risks, and infrastructure performance.

This project builds on our successful UK deployments with Transport for London (TfL) and the Royal Society for the Prevention of Accidents (RoSPA), work which earned See.Sense the Prince Michael International Road Safety Award.

Through anonymised aggregated data, See.Sense’s technology identified:

• Surrogate safety measures such as harsh braking, swerving, and abnormal events, correlated with high-risk locations.
  

• Road surface quality assessments derived from vibration analysis, pinpointing maintenance needs.
  

• Cyclist flow and delay patterns across different road types, showing how infrastructure impacts journey efficiency.
  

"Incorporating cyclist movement and braking data revealed hidden safety risks and flow inefficiences, providing actionable insights for intersection and infrastructure design" 

This data was integrated with traffic modelling, SCATS signal data, and other datasets by the University of Melbourne and partners, enabling advanced AI modelling for safer, more efficient multimodal traffic systems.

This project is an excellent example of Better Mobility through Technology by delivering:

1. Improved Safety for Vulnerable Road Users

Traditional safety analysis relies on crash data, missing near-misses and unreported incidents. See.Sense’s dataset provided proactive safety intelligence to identify risks before crashes occur — enabling targeted safety interventions that encourage cycling uptake.

2. Evidence-Based Infrastructure Improvement

Insights revealed where intersection delays, mid-block hazards, and poor surfaces hinder cycling flow and safety. This empowers planners to make data-led upgrades to lanes, intersections, and signal phasing.

3. Integration of Micromobility into Smart City Operations

By combining See.Sense data with connected vehicle and SCATS datasets, the project integrates cycling into multimodal traffic management frameworks, improving the balance between active travel and other modes.

4. Proven and Scalable Approach

The methodology is scalable across cities worldwide. The AI-enabled sensor approach can be deployed rapidly to support other cities seeking to improve cycling safety, uptake, and network efficiency.

In summary, the iMOVE60 project shows how See.Sense technology can deliver real-world mobility improvements internationally, advancing safer, smarter, and more efficient transport systems. 

We are delighted this project has been short-listed in the prestigious ITS UK Awards 2025 in the 'Better Mobility through Technology Award' category. 

Read the full report here