for planners, consultants and engineers
Thanks to cyclists sharing their ride insights via our app, we can provide cities with information on:
Movement Patterns
Speed And Dwell Times
Road Roughness
Collision And Near-Miss Events
Cyclist Feedback
Leverage new metrics to target where investments can boost cycling and measure the impact of those decisions
- Understand how cyclists are travelling across your city, from identifying popular routes to seeing in-depth junction analysis, in order to design optimal cycling networks.
- Use data-based evidence to rapidly baseline the performance of the city’s cycle network and monitor improvements over time.
- Rapidly (and cost-effectively) map road surface quality to detect worsening areas, carry out proactive maintenance, and manage assets better.
- Identify, and combat, hazardous cycling conditions in the city through a combination of qualitative and quantitative data.
- Ideal for travel demand modelling, corridor studies, turning movement studiesInform a Quality of Service assessment and more.
Our platform empowers planners, consultants and engineers with new data insights to make informed plans and policy decisions
see.sense working with smart dublin
testimonials
aecom
“The data provided by the lights is a useful tool for planners to develop cycle networks and also identify maintenance priorities” - Joseph Seymour, Head of Streets, Road Sector (UKI), AECOM
dublin city council
“This pilot generated fantastic engagement with our cycling community with over 500 cyclists taking part, keeping them safer on their journeys. It produced never-before-seen data and insights that will aid planning for better cycle infrastructure and policies to increase the modal share of cycling in our city” - Jamie Cudden, Smart Cities Lead, Dublin City Council.
TFGM
“The data gathered as part of this trial is already changing the way we look at designing and delivering cycle infrastructure and policy across the region, and will really help us to invest in an effective manner”. - Sam Li, Innovation Lead, TfGM.