Complex issues require quantitative traffic data to enhance our understanding and to find better solutions.
Gathering data to get a full picture of transport, leisure, and social activity for a network of streets is often impossible or very expensive with traditional tools like pneumatic tubes or manual counts.
Telraam sensors and networks provide a solution for citizens and their local representatives.
Telraam creates custom networks of sensors that leverage the knowledge
and access of local residents, using artificial intelligence (AI) technology to deliver consistent, timely, quality data for more efficient and effective infrastructure, traffic flow and traffic management plans.
Involving citizens and publishing open data brings researchers and policy makers into contact with local residents, creating the potential for interaction, dialogue, co-creation, and other forms of participation.
You can choose to host an individual device on your street, or work with the local authority or a campaign group to establish a wider network for a whole groups of streets.
You can read more below on Telraam's methodology and why Citizen Science is so unique and valuable, but it only works when you get involved.
Telraam provides the tools so motivated individuals can monitor their own street, but can also work together in a network to empower whole communities to work together.
Read all about our Network subscription and tools and see how you could build your own.
Telraam offers purpose-built, affordable, artificial intelligence driven traffic counting sensors, a network-management framework, and a complete architecture for storing, analysing, visualising, and distributing traffic data. In this setup the Telraam sensors are hosted by citizen scientists, establishing a valuable bridge between their neighbourhoods, local authorities, and mobility professionals. This connection, and the open access to the collected traffic data, democratises local traffic planning, and opens up new opportunities for all involved parties.
The Telraam approach:
Citizen science projects can be a cost-effective way for local authorities to gather data and gain insights into traffic issues in their community. No need for expensive street installations to protect the security of street users and the counting devices.
Citizen scientists are residents of the community in which they are collecting data, which means they have the local knowledge and perspectives that can be valuable in understanding local issues and developing locally applicable solutions.
Citizen science projects can be a way to engage members of the community in the decision-making process and to get them more invested in finding solutions to the local challenges.
By involving citizens in the data-gathering process, local authorities can also create a greater sense of ownership and buy-in for solutions that are developed as a result of these collaborations, which will lead to more widespread adoption and a greater positive impact and reception in the community.
Telraam sensors count road users classified into various categories.
The data that is displayed on the Telraam website (and made available via the Telraam API) includes four categories.
The new Telraam S2 device is capable of differentiating between an even broader set of road user. These new classes are available to Data subscribers on the website reports and via the API.
V1 data categories | S2 data categories |
Pedestrians | Pedestrians Strollers |
Two-wheelers | Bicycles Motorbikes |
Cars | Cars |
Heavy vehicles | Vans Trucks Buses Trailers Tractors |
As an individual citizen you can buy your own Telraam device and count traffic in your street on your own via the Telraam platform.
Alternatively, join one of the many networks already counting or recruiting.
No existing networks in your area, or need to decide where to collect traffic data?