My ride through Ottawa with a traffic light whisperer

We’ve all yelled at traffic lights, you’re not alone. But what if your car could calmly, helpfully, talk to the traffic light, with insider knowledge of the traffic grid?

That’s the idea behind Miovision’s V2X system, a smart traffic solution already found in many Canadian cities. The tech promises to make commutes smooth by predicting when lights will change. It advises drivers on the best speed to hit a green wave. It’s already at more than 1,000 intersections in Ottawa, so I hopped in an Audi with Miovision CEO Kurtis McBride to see how it actually works on real city streets.

The quiet dashboard revolution

We pull away from the parking lot in a high-end silver Audi SUV. McBride is driving, I’m in the passenger seat, and two more company execs sit behind me in the rear. I have a brief moment of panic after watching too many mafia movies, but once we hit our first red light, I forget all about it. The V2X system reveals itself in a subtle way with a small symbol on the dashboard. No voice assistant, no chirps. Just a clear symbol telling us how much longer we have to wait before the light turns green.

“Eight seconds,” McBride says. The symbol disappears a few moments before the green light, a feature Audi includes so drivers aren’t distracted when they begin moving. “We call that Time to Green,” he explains. “It’s one of three connected vehicle applications running right now.”

The other two, Red Light Assist and Green Light Optimized Speed Advisory (GLOSA), work in tandem. They help drivers avoid abrupt stops by recommending speeds so they can glide through intersections.

There’s no app to download. The system talks directly to the car through the OEM’s existing software and the city’s traffic infrastructure.

“You’re driving normally,” says McBride. “But with better information.”

The hardware under the hood (and above the asphalt)

The V2X system is able to take advantage of existing infrastructure to make this magic happen. The company has its systems embedded in intersections across Canada. Cities like Vancouver and Calgary use it to help manage traffic and aid first responders. Ottawa alone has it at more than 1,000 intersections, according to McBride.

Its backbone consists of sensors, cameras and powerful machine learning, all tied into traffic signal controllers already installed by local governments. Data from the street flows into Miovision’s cloud platform, where predictive algorithms analyze signal time, traffic flow, and even pedestrian patterns.

McBride says the system helped cut congestion by 40 per cent at a major bottleneck near the GO station in Milton, Ontario, just outside Toronto. It flagged high-risk intersections with frequent near-misses, what McBride calls “conflicts,” giving city planners actionable insights to improve street safety.

It’s a collaborative model between cities and Miovision. And now, OEMs are beginning to install Miovision’s software. Volkswagen Group, which owns Audi, is one of the first.

Canadians built this

The system continues to whisper to our Audi as we weave through the Vanier neighbourhood near Ottawa’s core. A green light shows on the dashboard with the suggestion to drive 60km/h underneath. McBride explains it is telling him if he maintains that speed, he’ll coast through the next green light… and the next, and the next.

He doesn’t try to dazzle with futuristic hype. His tone is measured and pragmatic. But it’s clear he is proud of the technology his company has built. Miovision is a Waterloo tech company with a dedicated team of smart people creating this quiet, revolutionary technology.

This might be Miovision’s most important innovation. This isn’t just a smarter commute. It’s a reminder that Canada has always been a leader in technology.

More than convenience

We end up back in the same parking lot where we started. McBride eases the classy Audi next to my Nissan, and I decide not to let them know the car beside us is mine. The conversation shifts from smooth commutes to safety and costs.

“Toronto loses about $32 billion a year because of congestion,” he explains. “This technology is already proven to reduce costs in cities where it is deployed.”

It starts at the city level. Thanks to smart infrastructure like induction loops and other sensors, the data can be funnelled to Miovision’s cloud. The company doesn’t directly own its cloud infrastructure, but builds on top of major hyperscaler platforms. McBride doesn’t reveal which ones, but it allows the company to focus on its core products.

“So we use that information to come up with predictions about how various intersections are going to behave,” he explains to me. “We then send those predictions to the OEMs like Audi, and Audi uses its own set of logic on it, and then they send that to the car.”

The road ahead for Miovision and drivers

As I sheepishly get back into my Nissan and look at Apple CarPlay on the screen, I realize the impact of Miovision’s system. The company isn’t trying to dazzle with futuristic flair. It’s quietly making traffic suck less, and cities operate smarter. It’s about saving minutes at red lights and shaving carbon off commutes. It’s about letting cities respond to problems before they turn into bottlenecks, or worse.

I drive to my next engagement, and as luck would have it, I hit every single red light on the way. And that’s the promise of V2X: making city life smoother without demanding attention. Whether we drivers notice or not, our cars are going to become traffic whisperers, and traffic lights might finally have something worth saying.