AI-powered data dashboard for cycling safety and planning

See.Sense Insight is an innovative data intelligence platform designed to help cities plan safer and more effective cycling infrastructure. Supported by iMOVE, the project partners with the City of Sydney and Surf Coast Shire Council to pilot the technology using 400 See.Sense smart bike lights.

These devices collect detailed behavioural data, such as swerving, braking, and surface conditions, which is then translated into predictive safety insights for planners.

The Transport Accident Commission is contributing strategic road safety expertise. The platform supports data-driven planning that enhances rider safety, encourages active travel, and contributes to Vision Zero and Net Zero objectives.

Participants

• iMOVE Australia
• See.Sense
• Surf Coast Shire Council

Project background

See.Sense Insight is a planning intelligence platform that delivers high-resolution safety and behavioural insights to support smarter investment in cycling and micromobility infrastructure.

The project builds on See.Sense’s previous iMOVE-funded Lights Insights Trial with the Transport Accident Commission and Deakin University, which proved the potential of crowd-sourced ride data in generating road safety insights.

This project will transform those learnings into a scalable, integrated hardware and analytics platform. It will be piloted with the City of Sydney and Surf Coast Shire Council, deploying 400 See.Sense smart devices to collect braking, swerving, and surface data. The TAC will also participate in the Surf Coast workshop, contributing strategic road safety expertise.

Key innovations include predictive risk scoring, automated before–after infrastructure analysis, and ML-driven inference in low-data areas. By integrating external datasets (e.g. crash data), the platform helps overcome data silos and supports Vision Zero and Net Zero objectives. Rather than replicating existing tools, it unlocks unique insights currently unavailable in standard planning workflows.

Project objectives

See.Sense Insight is being developed to address a critical gap in active travel planning: the lack of high-resolution, behaviour-led safety data to evaluate infrastructure performance and prioritise investment. Existing tools largely rely on movement data alone, without the behavioural context, such as braking, swerving, surface quality, and delay, that See.Sense uniquely captures.

By transforming this patented dataset into an actionable decision-support tool, the project aims to:

Improve transport safety outcomes

By generating predictive risk scores from real-world cycling behaviour, transport agencies and councils can identify dangerous locations earlier and implement targeted safety improvements, directly supporting Vision Zero crash-reduction targets.

Increase efficiency of infrastructure investment

Automated before–after analysis and machine learning extrapolation will help authorities evaluate which interventions are working and prioritise limited budgets towards projects with the greatest safety and mobility benefit.

Support mode shift to active travel

By improving safety and confidence, the tool will encourage greater uptake of cycling and micromobility, reducing congestion, lowering emissions, and contributing to Net Zero transport objectives.

Build a nationally scalable solution

Validated through pilots with both a metropolitan council (City of Sydney) and a regional council (Surf Coast Shire), the platform will be directly applicable across diverse Australian jurisdictions, creating a replicable model for transport authorities nationwide.

Contribute to Australia’s global leadership in transport innovation

By delivering insights not currently available through standard planning workflows, this project positions Australia at the forefront of using behavioural transport data to drive smarter, safer, and more sustainable mobility systems.

Please note …

This page will be a living record of this project. As it matures, hits milestones, etc., we’ll continue to add information, links, images, interviews and more. Watch this space!