
The more help we expect from technologies, the more we should pump it up with data. For example, if we want to know precisely when public transport will be the most crowded or at what time a particular street will have the heaviest traffic, we have to provide algorithms with as much data as possible about people’s movements. If we have enough data sources and information that can be easily shared, then it’s not a problem. Data will help to make our lives easier.
Vehicle sharing and micro-mobility solutions are becoming more popular each year while expanding in more and more cities and countries all over the world. All these platforms and solutions create a certain amount of data. When used properly, it can help to improve everyday life in the city.
MaaS solutions collects data from several service providers
Mobility as a Service (MaaS) providers are a perfect source of data. MaaS solutions integrate various forms of transport services into a single mobility service accessible on demand. These different transport forms include public transport, as well as ride, car, and bike-sharing. In some cases, this might include data about taxis and car rental services.

Source - https://www.trafi.com/jelbi-tender
The idea behind MaaS is that everything is available inside a single application. So there is no need to pay for each service separately. Moreover, there are different payment plans available – a monthly subscription model with a fixed monthly fee or “pay-as-you-go”, where each leg of the booked trip is priced separately.
In 2021 several interesting and significant MaaS partnerships were announced in Europe. One example is the partnership between the public transport company Arriva Nederland (part of Arriva Group, a subsidiary of Deutsche Bahn), and Moovit - the MaaS solutions specialist owned by Intel. This collaboration has made a new nationwide MaaS solution available to employers in the Netherlands with the chance to provide their staff with a mobility budget for their commuting, business, and private journeys. The MaaS app is called Glimble and it is planning to expand in Belgium, as well as in parts of Germany.
Earlier last year, Swiss Federal Railways - public transport operators in Zurich, Basel, and Bern - created a MaaS solution yumuv. It is the first regional MaaS with subscriptions and is powered by Trafi. In less than two months, yumuv was downloaded by almost 1,000 individuals who made nearly 2,000 rides in Zurich alone. Almost 200 subscribers opted for different subscription packages.

https://www.polisnetwork.eu/article/zurich-basel-bern-bring-new-maas-solutions
This graph by the yumuv app shows how much information can be obtained from one source of the MaaS solution. It is possible to follow people’s movement, the most popular routes to get from point A to point B, as well as the choice of the vehicles along the way. So this data is indispensable.
The more the user is willing to share data, the more he gets in return. This case is no exception. With the development of MaaS, users of the solution get more freedom to choose while moving in the city. Basically, the user can decide on its own terms without the need to switch apps or platforms. Various vehicle options and different service providers are available on one unified interface. The choice between the fastest or the cheapest option is behind the user. As everything is integrated into one app (citymapper, Moovit), it is efficient and fast to also include public transport in the trip.
Google Maps and Moovit - on their way to becoming MaaS?
Recently all the biggest players in the micro-mobility market have moved to where most people are looking for commuting solutions. It all started with Bird, Lime, Waybots (Skip), and Spin joining Transit app in April 2018. Afterward, In Europe, CityMapper added the two biggest bike operators Ofo and Mobike in June 2018. Soon after, CityMapper announced several integrations for bike, moped, and scooter operators, such as Jump, Lime (at that time separate), and Nextbike; Spin, and Bird scooters; and Cooltra, Coup, and ZigZag mopeds.
The next big thing that happened was the exclusive partnership between Google Maps and Lime that started at the end of 2018 and lasted 2,5 years. It was the integration for short-distance trips, only eight months after Lime started to provide e-scooter services. The company announced that the app shows scooters and bikes nearby in the “transit” tab, as well as via “walking” and “cycling” tabs. The app displays information about each vehicle - distance, price, and battery range.
Moovit was the first MaaS company to add routes for cyclists and it happened back in 2018. The company started its partnerships with GoTo, Donkey Republic, Mimoto, Mobike and Bird, Circ, Hive, and several others in 2019. Moovit added more partnerships in 2021 - Beryl in February, Beam in May, and Voi, Tier, Spin, and Getaround the following months ending with Lime in July. This latest deal affected 20 countries and 117 cities including the United States, South America, Australia, and Europe.
FreeNow started first with the integration of its own Hive brand (now defunct), as well as VOI, BOND, Emmy, and MILES in 2020. In the first half of 2021, it continued with adding Tier and Cooltra, in 2022 - Zipp Mobility.
With big players constantly joining Google Maps and Moovit, these platforms have become MaaS trip planning solutions. The only difference is that it is not possible to pay for the trip via these services so they are not classical MaaS solutions. However, they offer a huge benefit in the form of an extensive user database, as well as users’ habits to plan their trips via these platforms. More reach means more customers. And another important benefit for micro-mobility service providers using MaaS solutions is cross-promo possibilities.
GBFS data - future of city planning
It is in the interests of many parties involved to make micro-mobility data available, so there are organizations that focus on that. What this means for you as a service provider - you can spend weeks integrating with each app-aggregator such as Google, or you can use the standard approach by GBFS. This offers the opportunity to join any app aggregator (Google, Movit, city apps) in a few days with no coding at all. And it doesn't matter what micro-mobility service you are providing.
What is GBFS? It is a leading global initiative created by NABSA - North America Bikeshare and Scootershare Association. GBFS is General Bikeshare Feed Specification. A team of bike-share system owners and operators, application developers, and technology vendors developed GBFS and it was later adopted by over 600 bike-share and scooter systems worldwide. The latest version was released in April 2021.
GBFS defines a common format to share the real-time status of a shared mobility system. The purpose of data specification is to enable the exchange of information between multiple parties in a manner that ensures that all parties agree on what the information represents. The GBFS format allows mobility data to be used by a range of software applications for trip planning, research, analysis, visualization, and regulation. This publicly available data allows regulators, researchers, and community members to gain insights that have helped municipalities meet their goals.
GBFS includes information about vehicles (bicycles, scooters, moped, and cars), stations, dock locations, and availability. There is also information about vehicle characteristics including their type of power and the distance that can be traveled on the remaining charge. Geofenced areas are also included in this set of information, i.e. data about rules related to speed, parking, and prohibited zones.
So what's in the data available for the city? If we specifically talk about information about cars, it is now possible to quickly convert car trips to electric vehicle trips. Questionnaire data in the US shows that this occurs with approximately 30% of all rides. If this is too specific for you, bear in mind that any insights are potentially going to provide the opportunity to optimize the city’s infrastructure and help to make the city more user-friendly and sustainable. And as we all know, this and any other innovations will most likely help to grow the city’s reputation worldwide.

🤖 Who will actually operate Europe’s robotaxi fleets? Autonomous driving may remove the driver, but it doesn’t remove the work behind the car. Robotaxis still need charging, cleaning, maintenance, depots, customer support and someone managing the fleet every day. Early projects in Zagreb, Madrid and London illustrate different stages of deployment and how AV technology providers, fleet operators and booking platforms can work together. Taxi, rental and car-sharing companies already handle many of these tasks. What would it take to turn that experience into an autonomous fleet business?
For a taxi fleet owner, autonomous vehicles may seem to remove the most important part of the current business – the driver. But even without drivers, someone still needs to take care of the cars. They need to be owned or financed, charged, cleaned, inspected and repaired. Someone also needs to manage depots, deal with incidents, help customers and make sure enough cars are available.
The first robotaxi services and tests in Europe are already showing how this could work. The company that develops the autonomous driving technology does not always own or operate the cars. The app where customers book their rides may come from another company too. This could leave an important role for taxi, rental, car-sharing and other fleet companies that already know how to manage vehicles.
What changes when the driver disappears?
A taxi company today manages both cars and drivers. Drivers need to be recruited, scheduled, paid and supported. With a driverless fleet, these tasks would eventually disappear, but most of the work related to the cars would stay.
Autonomous cars still need charging or refuelling, cleaning, tyres, inspections, repairs and insurance. They also need somewhere to park when they are not working. If there is an accident or a technical problem, someone needs to deal with it and get the car back on the road. Customer support is still needed too when there are problems with bookings or payments, or when someone leaves something in the car.
Some of these tasks may even become more important. Robotaxis are expensive, and every hour a car spends charging, being cleaned or waiting for maintenance is an hour when it cannot take passengers. Moove, for example, already provides fleet ownership, depots, charging, maintenance and 24/7 operations for autonomous vehicles.
Drivers also do more than drive: they notice damage, report faults, help passengers and respond when something goes wrong. Without a driver, these responsibilities need clear processes and dedicated support. Existing fleet experience is an advantage, but operators will need to adapt it to vehicles running without someone behind the wheel.
Who actually runs a robotaxi service?
There can be several companies behind one robotaxi ride. One provides autonomous driving technology, another may own the cars, and a local company can take care of the fleet. A platform such as Uber can then connect the cars with passengers. Sometimes one company may do several of these things, but this is not always the case.
Zagreb is one example. Pony.ai provides the autonomous driving system, Verne owns and operates the fleet, and Uber connects it with customers through its app. Autonomous rides became commercially available through Uber in August 2026 with a licensed operator onboard. On 10 September, Pony.ai and Verne also started fully driverless passenger test rides on a 22-kilometre route connecting parts of Zagreb with the airport. These are still limited test rides, not a fully driverless service across the whole city.
A similar model is being tested in Madrid. WeRide, Uber and AVOMO received permission in September 2026 to start testing and mapping under Spain’s ES-AV framework. The first 20 vehicles have an onboard specialist. WeRide provides the autonomous technology, Uber connects the cars with passengers, and AVOMO takes care of fleet operations. Commercial operations are planned for later in 2026, but the current permit is for testing and preparation rather than a general driverless taxi service.
In London, Wayve and Uber launched supervised autonomous passenger rides in September 2026. Customers can be matched with an autonomous vehicle through the Uber app, but there is still a licensed driver in the car.
Europe is preparing for larger robotaxi fleets
The plans for the next few years are already much bigger. Pony.ai and Uber announced in August 2026 that they plan to deploy more than 2,000 robotaxis in Europe, starting with Zagreb and later expanding to four more European cities.
Bolt and Lucid announced another partnership in September, with Bolt aiming to deploy at least 25,000 autonomous Lucid vehicles across European cities. This is a future target, not 25,000 cars already operating today.
How these fleets are owned and operated may also be different from one city to another. Local regulations, available vehicles, charging and depot infrastructure and partnerships will all have an effect on how each service is set up.

What could this mean for taxi companies?
Taxi companies already do many of the things that would still be needed with an autonomous fleet. They maintain cars, deal with insurance and incidents, provide customer support and make sure enough vehicles are available. Some also already have their own depots, charging infrastructure or maintenance partners.
One possible model can already be seen in Zagreb. A local company owns and operates the autonomous fleet, while a larger ride-hailing platform brings customers. In the future, an existing taxi company could potentially have a similar role. Instead of managing cars and drivers, it could manage autonomous cars that receive bookings through a larger platform.
This does not mean platforms such as Uber will always rely on other companies to own the cars. Uber’s 2026 agreement with Rivian includes up to $1.25 billion in milestone-dependent investment and says that Uber or its fleet partners may purchase the autonomous vehicles. Uber is also developing infrastructure for autonomous fleets. Different ownership models are therefore possible.
What about rental and car-sharing companies?
Autonomous vehicles could also become interesting for rental and car-sharing companies, although this is probably further in the future. These businesses already manage vehicles, maintenance, cleaning, charging, bookings, customer accounts and payments, so much of the practical work is similar.
Autonomous driving could also change how rental and sharing cars are moved. Today, an employee may need to drive a car from one location to another. In the future, the vehicle could potentially do this itself within an area where autonomous driving is approved. It could even become possible for a rental car to drive itself to a customer’s pickup point.
How do you measure a robotaxi fleet?
Without drivers, it becomes especially important to understand how much time each vehicle is actually working. Every hour spent charging, being cleaned, waiting for maintenance or simply sitting unused means less time carrying paying passengers.
Some useful KPIs could be available hours per vehicle, paid trips per vehicle each day, revenue per available vehicle/day, empty kilometres, charging and maintenance downtime, cost per trip and incidents that need human help. These are most popular robotaxi industry KPIs of what a company could measure during a pilot.
For example, if cars spend too much time waiting to charge, the charging setup may need to change. A lot of empty kilometres could mean the cars are not in the right places, while too much maintenance downtime could make a vehicle more expensive to operate.
How could local companies enter the market?
For either model, the business case depends on the partnership terms: who finances the vehicles, who carries the risk when demand is low, and how revenue and operating costs are shared. Operators should assess what remains after vehicle financing, insurance, charging, maintenance and partner fees. Depots, local service teams and reliable fleet availability could make an operator a valuable partner, but profitability still needs to be demonstrated.
One option for taxi fleets would be to work with an autonomous driving company and a larger ride-hailing platform. The local company could own or manage the cars and take care of the fleet, while customers book their rides through the larger platform.
Another option could be possible in cities where large ride-hailing platforms are not present or have limited coverage. A local company could work with an approved AV provider while using its own app, bookings, payments, customer support and fleet management.
In both cases, a company cannot simply buy autonomous cars and start offering rides. The technology needs to be approved, and local rules have to allow the service. These rules will also be different across Europe. Great Britain, for example, introduced its Automated Passenger Services permitting framework in 2026. Services similar to taxis or private hire vehicles need consent from the relevant local authority, while responsibility for the autonomous driving technology and the passenger service are treated separately.
What can fleet companies do now?
A company does not need to have autonomous cars today to start preparing. A good first step is understanding the current fleet in detail – what each vehicle costs, how many hours it is available, how much time it spends charging or being repaired, and when cars are used the most.
Charging, cleaning, maintenance and depot processes are also worth looking at because all of these will still be needed with autonomous vehicles. A company interested in an AV pilot can then choose a location and use case, look at the local permit process and start talking to autonomous driving technology providers.
The software will also need some preparation. Customers still need to book and pay for rides, while the company needs fleet information, customer support, reporting and connections between its own systems and the AV technology. Starting with a small pilot makes it possible to test all of this before trying to build a larger service.
Where could ATOM Mobility fit?
ATOM Mobility already provides many of the software functions used by taxi, ride-hailing, rental and sharing companies, including customer apps, bookings, payments, fleet management, maintenance tasks, analytics and APIs. Its ride-hailing software includes passenger and driver apps, dispatch, payments, fleet data, analytics and integrations. The ATOM Mobility API can also exchange data about vehicles, bookings, rides, payments, telemetry and maintenance tasks.
ATOM Mobility does not provide autonomous driving technology. This would come from a specialised AV company, and each project would have its own technical requirements and local approvals. For an AV pilot, ATOM Mobility could work with the fleet company and AV provider on the rider experience, integrations, fleet management and the data needed to measure how the pilot is working.
If you operate a taxi, rental or sharing fleet and want to explore an AV pilot, ATOM Mobility can help plan the booking and fleet-management setup, integrations and metrics you would need to test together with an AV technology partner.

ATOM Connect Rental 2026 brought rental operators, aggregators, and technology partners together in Riga on October 8 to discuss the future of vehicle rental. Key topics included margin pressures, customer friction, data-driven fleet decisions, insurance, and keyless operations. The central takeaway: growth depends on improving customer experience and fleet efficiency, with practical steps operators can take today.
On October 8, 2026, we gathered on the panoramic top floor of the AC Hotel by Marriott in Riga for ATOM Connect Rental 2026.
Following the community-first approach of our past mobility summits, our goal for this edition was simple: avoid the noise, generic pitches, and sales booths of conventional trade shows. Instead, we brought together an intimate room of car rental operators, regional franchise managers, aggregators, and technology pioneers to have an open, unfiltered conversation about where vehicle rental is heading and what it actually takes to get there.
The day’s agenda reflected that intent. Rather than treating digitization as a buzzword, the sessions explored the operational realities of the industry: from global macroeconomic forces to the high-stakes friction points at the physical rental desk.
Here is a recap of the key discussions, industry data, and takeaways from the summit.
The macro view: Three forces redefining vehicle rental (Frost & Sullivan)
Opening the morning keynotes, Frost & Sullivan set the strategic foundation by examining how vehicle rental is shifting from an asset-heavy model to a digitally enabled, flexible mobility ecosystem.
Their analysis highlighted three forces currently reshaping the industry:
- Disruptive Technologies: App-based journeys, automated digital identity verification (AI KYC), and keyless access are quickly becoming baseline customer expectations.
- Internal Cost & Margin Pressures: Repair costs, vehicle turnaround times, insurance inflation, and fragmented software are squeezing fleet utilization. Connected operations are now critical to protecting margins.
- Transformative Megatrends: Electrification, changing travel patterns, and sustainability regulations are forcing operators to rethink fleet acquisition and pricing strategies.
The main takeaway from their presentation was clear:
"The winners will not simply manage more vehicles - they will manage the customer, fleet, and ecosystem more intelligently."
Looking ahead, Frost & Sullivan stressed that future value will come from experience-led rental models (low-touch, personalized journeys), commercial and LCV subscriptions, and ecosystem partnerships that maximize revenue per vehicle, customer, and trip.
A front-row reality check: Why car rental is the toughest service in travel (EconomyBookings)
Following lunch, Vitalijs Cvetkovs, Head of Commerce at EconomyBookings.com, delivered a refreshingly candid, data-backed session on why car rental remains the most friction-heavy customer journey in travel.

While booking a flight or hotel is relatively straightforward, car rental forces the customer to decode dozens of brands, ACRISS vehicle codes ("or similar"), deposit rules, insurance tiers, and fuel policies. Drawing on data from over a million annual bookings, Vitalijs pinpointed the four friction points where the industry loses customers:
- Choice Overload: Searches returning 700+ vehicle variations across 70+ brands overwhelm customers. Aggregators must prioritize smart, predictive ranking to surface the 10 most relevant cars rather than an endless list.
- The Broken Pricing Reflex: Unlike flights and hotels, car rental prices often drop in the final weeks before pickup. This trains travelers to book speculatively, monitor prices, cancel, and rebook - driving up cancellation rates across the board.
- The Credit Card Wall: EconomyBookings' audit revealed that less than 30% of European counter offers accept debit cards. With modern travelers increasingly relying on neobanks, turning customers away at the desk because they lack a credit card for the deposit creates major operational friction. Low-deposit and debit-friendly models are the inevitable direction of travel.
- The Counter as the "Emotional Summit": The counter is where booking expectations collide with operational realities. Their review data confirms an uncomfortable pattern: the lower the daily rental rate, the rougher the expected pickup experience.
Vitalijs concluded with a crucial commercial insight: In the era of AI and instant review summaries, poor customer experiences are instantly visible. Customer experience is the only sustainable retention driver, and aggregators and operators must work together to absorb friction rather than pass it on to the traveler.
Ground-level Intelligence: Spatial AI and next-gen insurance
Beyond macro trends and customer journeys, the technical sessions focused on practical tools operators can deploy today:
- Anadue (Urban Mobility at the Speed of Thought): Mike Manchip showcased their SuperFlexMap platform, demonstrating how spatial data drives branch profitability. By combining census statistics, commuting patterns, hotel density, and car ownership data, operators can perform gap analysis to identify affluent, car-free neighborhoods that lack rental desks - replacing intuition with empirical site selection.
- Datafolio (Unlocking Value in Add-On Insurance): Datafolio addressed the headache of unpredictable fleet coverage, showing how AI risk modeling (UBRA) and transparent, app-based micro-insurance can turn fleet insurance from an operational cost burden into an EBITDA generator.
Operationalizing the future: The INVERS fireside chat
Closing out the afternoon, ATOM Mobility hosted a fireside session with INVERS to discuss the nuts and bolts of deploying "digital rental-ready" fleets.
The session focused on practical execution. Using real-world examples, the discussion highlighted how telematics, CAN-bus hardware, and remote immobilizers enable traditional operators to launch virtual stations, service off-airport locations, and automate replacement vehicle workflows without increasing staff overhead.
The key takeaway: modernizing a fleet does not require an immediate, risky transition away from the counter. Hybrid operations allow established rental businesses to introduce 24/7 keyless handovers alongside their standard operations.
The Value of the Closed Room
As presentations concluded and conversations moved into the evening networking mixer overlooking Riga, the feedback mirrored what made previous ATOM Connect events special: the value is entirely in the room.
By capping attendance and curating an audience of active industry operators, conversations went deeper than high-level presentations. A sincere thank you to all our speakers, partners, and guests who joined us in Riga. The vehicle rental sector is evolving quickly, and we are proud to provide the space where the industry comes together to map out what comes next.
Stay tuned for our next ATOM Connect events by following us on LinkedIn!



