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The first thing you notice arriving in Zurich is not the technology, but the calm. Trams slide through junctions with barely a pause. Pedestrians cross with certainty. Buses arrive as promised and (perhaps most tellingly), nobody seems surprised. It is the kind of everyday reliability that many cities talk about but few achieve and it forms the backdrop to why Zurich matters in the wider ITS story.
On 30 April, that sense of controlled motion extended indoors as policymakers, operators, suppliers and researchers gathered for the International Smart Mobility Conference. Across keynotes, technical sessions and demonstrations, the discussion kept returning to a shared conclusion that the next phase of intelligent mobility will not be won by isolated breakthroughs, but by stitching AI, automation, connected services and climate-aligned infrastructure into one coherent system, governed well enough to earn public trust and resilient enough to cope with a harsher climate.
That might sound like a familiar claim in a sector that lives on big promises. Yet in Zurich the argument felt less like a slogan and more like a description of how the city already operates. The conference used the region’s transport network, which is dense, multimodal and intensely utilised, as proof that ‘smart mobility’ is most convincing when it is a way of running the transport system day-to-day, not a set of pilots running in parallel.
In the opening session, speakers from ZVV and the City of Zurich’s mobility team described an approach grounded in operations, using data to anticipate not just to react, using automation to stabilise performance not to show off and treating integration as the design principle. The most interesting detail was not any single gadget, but the way tools that once sat in separate silos, such as traffic control, public transport management, kerbside regulation and passenger information, are being pulled into a common operational picture.
Zurich’s network has a reputation for punctuality, but the conference revealed what that reliability is now enabling. Delegates heard how tram priority is becoming more sophisticated, no longer a blunt ‘green wave’, but a dynamic decision shaped by passenger loads and network conditions. Bus dispatching, too, is shifting from static timetables toward headways that can flex with demand, while citywide digital twins are increasingly used to model disruption before it happens, construction phases, major events, even the knock-on effects of extreme weather.
The same logic is showing up in Zurich’s mobility-as-a-service work. Rather than treating MaaS as a consumer app problem, the city is testing what happens when public transport, micromobility and shared electric fleets are orchestrated as part of the same service promise, where availability, pricing signals and customer information are tuned to support the network as a whole. The underlying message was strikingly pragmatic, that smart mobility is not a technology programme. It is an operational philosophy and it only works when governance and accountability are as carefully designed as the software.
If one concept dominated the corridors and Q&A sessions, it was artificial intelligence, discussed less as a distant future and more as the next layer of invisible infrastructure. The most persuasive presentations were those that treated AI as a reliability tool: something that reduces uncertainty, predicts failure and helps operators manage complexity without overburdening staff.
In traffic management, suppliers demonstrated optimisation engines that blend historic patterns with live feeds to predict congestion up to forty-five minutes ahead, automatically adjust signal plans and flag anomalies (stalled vehicles, unusual weaving, sudden queue growth), before they cascade into wider disruption. Several demos also highlighted the increasing maturity of multi-source modelling, where weather, event schedules and freight movements are brought into the same prediction layer rather than treated as ‘external factors’.
One of the most tangible examples came from a Swiss–Austrian consortium working with machine-vision roadside units. Instead of waiting for collisions to appear in the statistics, the system detects near-misses (conflict points, risky speeds, unexpected movements), and can trigger targeted safety interventions. The appeal is obvious: proactive safety management that works with what the street is actually doing, not what last year’s reports say it did.
Public transport operators were equally clear-eyed. Case studies from Zurich, Vienna and Copenhagen showed AI-supported fleet management being used to predict component failures, optimise charging cycles for electric buses and rebalance vehicles against real-time demand. In other words, AI is increasingly being deployed where it makes the network feel dependable to passengers, keeping services regular, smoothing peaks and reducing the small operational shocks that, cumulatively, erode confidence.
Connected mobility has spent years in pilot mode, caught between competing standards, uncertain business cases and legitimate cybersecurity concerns. In Zurich, the conversation felt different, less about whether vehicle-to-everything will happen and more about how quickly it can be made interoperable enough to matter. Europe’s strength of its dense borders and shared corridors, is also its challenge and several sessions focused on making connected services behave consistently from one jurisdiction to the next.
A joint update from Switzerland, Germany and Austria described progress on a tri-national interoperability framework intended to standardise safety messages, align roadside unit specifications and harmonise digital road signage, while putting cybersecurity requirements on a common footing. For freight corridors and alpine routes in particular, the promise is straightforward with fewer ‘dead zones’ where systems stop talking at the border and a more predictable operating environment for commercial fleets.
Closer to home, Zurich shared lessons from a city-centre V2X pilot that has explored tram-to-vehicle communication, pedestrian safety alerts, priority signalling for emergency vehicles and real-time kerbside management for deliveries. What mattered was the operational framing where connected messages were positioned as another way to reduce delay and conflict in the most contested parts of the network, not as a ‘connected car’ project in isolation.
Autonomous mobility was present throughout the day, but without the bravado that sometimes colours the topic. The prevailing tone was ‘safety first, deployment second’, with speakers emphasising that automation will be accepted only if it behaves predictably, integrates with existing services and earns trust through evidence.
Updates from the Swiss Federal Office of Transport reflected that mindset. The national autonomous shuttle programme is expanding into mixed traffic in several municipalities, testing AI-enhanced perception in complex urban environments and (crucially), integrating services with public transport timetables rather than treating them as standalone novelties. Alongside the operational learning, the programme is building the data and assurance practices that will underpin longer-term regulation.
Freight, meanwhile, is where automation is already slipping quietly into the mainstream. Logistics voices from Switzerland, Italy and the Netherlands pointed to autonomous yard vehicles, automated last-mile delivery robots and AI-supported routing as practical steps that improve efficiency without requiring a sudden leap to fully driverless trucking. Here again, interoperability and regulatory alignment were the recurring concerns, because freight crosses boundaries by definition and automation only scales when rules and interfaces do too.
Sustainability was not treated as a parallel track. It was the organising constraint, which is shaping investment, procurement, data strategy and even the language speakers used to talk about performance. The most useful sessions were those that moved beyond targets and into systems engineering, looking at how to electrify at scale without simply shifting the problem to the grid and how to keep networks running when climate impacts become more frequent and more severe.
Electrification discussions focused on the difficult middle ground between pilots and full fleet transition. Charging infrastructure that can grow quickly, depot operations that remain reliable and ‘grid-aware’ charging strategies for buses and heavy vehicles. Delegates also explored battery lifecycle planning and circularity, because sustainability claims unravel quickly if end-of-life is an afterthought. A practical case study from the Zurich Airport region showed what integration can look like in the real world with a multi-energy mobility hub combining EV charging, hydrogen refuelling and micromobility services in one location, designed around user convenience as well as energy system constraints.
Climate resilience was the other half of the sustainability conversation, and it was notable how operational the examples were. Cities described flood-resistant tram assets, heat-resilient road materials and AI-based climate risk modelling that can identify vulnerable links before they fail. The implication for ITS is clear, data and automation are not only about efficiency, but about keeping essential movement possible under stress, supported by emergency mobility planning that treats extreme conditions as a ‘when’, not an ‘if’.
By the end of the day, five themes had surfaced repeatedly, sometimes explicitly on slides, more often in the shared assumptions behind questions. First, AI is becoming the operational core of mobility, valued for what it does quietly in the background, predicting, stabilising and improving reliability. Second, connected mobility is edging into deployment, with Europe’s emphasis firmly on interoperability and safety rather than flashy point solutions. Third, autonomous systems are advancing steadily, but in a manner that reflects European expectations of being integrated into public transport, tested transparently and shaped by public trust. Fourth, sustainability is now inseparable from mobility planning, influencing everything from charging design to procurement criteria. And finally, Zurich offered a reminder that ‘smart’ only sticks when the system works, operational excellence is not the opposite of innovation, it is the platform that makes innovation safe to scale.
The International Smart Mobility Conference did not try to sell delegates a single grand solution. Instead, it sketched a more believable future of being built on integration, governance and steady operational improvement. Zurich is not perfect, but it is consistent and that consistency offers an important lesson for the ITS community that the technologies that will define the next decade are already here. The real work now is to connect them, govern them and deploy them in ways that keep mobility safe, affordable and resilient.
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