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Safer streets, stop by stop: what we learned from our showcase with Hayden AI

Written by Celine Siborgs | 10 Jul 2026

What if your bus fleet could do more than move passengers from A to B? What if every bus on the road was also actively enforcing bus lanes, bus stops and cycle paths automatically, along the entire route?

That's exactly what Hayden AI has built. And on Wednesday 8 July, we invited a select group of cities to hear it straight from the source.

How it works

Hayden AI mounts a compact camera system on existing buses, regardless of make or model, so it works with whatever fleet a city already runs. As the bus travels its route, the system automatically detects vehicles illegally parked or driving in bus lanes, blocking bus stops, or obstructing cycle paths. When a violation is captured, an evidence package is created on the spot and securely transferred to the enforcement agency's system for review, ready to generate a citation if confirmed.

The key difference from fixed cameras? Coverage. Instead of enforcing one location, you enforce an entire route. Everywhere the bus goes.

What cities are seeing

In Los Angeles, the numbers are even more striking. Before Hayden AI, Metro issued around 570 bus lane citations per month through manual enforcement. After deploying the technology: 10,000. That's roughly 18 times more enforcement, without 18 times more staff.

More than enforcement: mobility insights

During the session, Charley introduced what Hayden AI calls the three E's: enforcement, education and engineering. The cameras don't just capture violations. They generate rich data about how buses move through a city, where they slow down, at what times, and why.

That data can be used to identify recurring bottlenecks, support traffic signal priority systems, or inform infrastructure decisions. In London, for example, Hayden AI is working on a project that uses the camera data to identify roadworks and assess their impact on the bus network in real time.

As Charley put it during the session: a city does not need to do a lot of manual work to capture this amount of data. It's already out there.

Where InTouch comes in

Hayden AI handles detection. InTouch handles what comes next. The evidence package flows directly into back-office enforcement software, where operators review the event, confirm the violation, and generate the citation, all within the same workflow they already use today.

It's a natural extension of what cities are already doing with InTouch, now with automated detection feeding in from the road.

GDPR compliant and ready for Europe

A question that came up during the Q&A: what about data privacy? Agnes confirmed that the technology is GDPR compliant and that data processing officers have already approved it in European deployments. Hayden AI is already working with transit agencies across Europe, including Transport for London, TMB in Barcelona, Carris in Lisbon, OASA in Athens and ZTM in Gdansk.

The key takeaway

When asked what one lesson cities should take away from the session, Agnes summarised it well: the technology is readily available, configurable to the specific needs of a city, and being used not only in North America but across Europe. It provides a lot of robust information with a surprisingly simple setup.

Watch the full session

Want to see the technology in action, hear the case studies in full, and watch the Q&A? The complete showcase is now available on demand.

Interested in exploring this for your city?

Reach out to Astrid directly at astrid@intouchtraffic.com. She's happy to talk through what bus-mounted enforcement could look like in your context.