The next big thing in micromobility - MaaS
January 31, 2022
min. read
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.
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How to fully automate maintenance tasks and alerts for rental fleets
🚗 Scaling a rental fleet without automating maintenance? That’s risky. Spreadsheets and routine checks might work at 20 vehicles, but once you grow past 50, things start slipping. More operators are using IoT telematics, automatic error codes, and mileage-based service alerts to catch issues early and keep vehicles available. See how rental fleet maintenance automation helps you scale without chaos.
March 31, 2026
min. read
How to automate maintenance alerts for rental fleets
Rental fleet maintenance automation is becoming essential for operators who want to scale without increasing operational complexity. Whether you manage cars, scooters, bikes, or mixed fleets, manual inspections and spreadsheets quickly fail once your fleet grows beyond a few dozen vehicles.
Breakdowns, missed services, and delayed repairs directly affect uptime, revenue, and customer satisfaction. Modern fleet technology makes it possible to automate maintenance using IoT telematics, onboard sensors, automatic error codes, mileage-based triggers, and structured dashboards.
Why manual maintenance tracking does not scale
In small fleets, maintenance is reactive. A customer reports an issue. A staff member checks the vehicle. Someone creates a task manually. This works for 20 vehicles, but for 200 it’s just too much work.
As fleets expand, issues are discovered too late, standards vary between locations, and staff spend more time coordinating than fixing. Rental fleet maintenance automation shifts operations from reactive repairs to preventive, system-driven workflows.
Using IoT telematics to monitor vehicles in real time
IoT telematics devices collect live data such as location, battery level, ignition status, engine health, and mileage. In car rental and car sharing fleets, telematics also track fuel levels, driving behaviour, and diagnostic information.
Instead of waiting for user reports, the system can trigger alerts automatically. For example:
- when a battery drops below 20 percent
- when a vehicle reaches a service mileage threshold
- when a vehicle leaves a defined service area
- when the vehicle receives a few negative reviews
This data feeds directly into the fleet platform, where workflows assign tasks automatically, reducing response times and eliminating internal coordination delays.
Onboard sensors and automatic error codes
Modern vehicles generate diagnostic trouble codes when systems fail. In connected fleets, these codes appear instantly in the operator dashboard.
If a vehicle reports a brake or engine warning, the system can block it from new bookings, notify technicians, and create a repair task automatically. In micromobility fleets, IoT modules detect tilt events, battery degradation, failed unlock attempts, or controller errors.
Digital reporting further improves vehicle availability. ATOM Mobility’s vehicle damage management feature shows how structured workflows reduce downtime and improve transparency.
Mileage-based and time-based service automation
Rule-based servicing is one of the most effective elements of rental fleet maintenance automation.
Operators can set simple service rules, such as:
- changing oil every 15,000 km
- checking brakes every 20,000 km
- running a safety check every six months
When a vehicle reaches one of these limits, the system creates a task automatically. The vehicle can also be temporarily removed from booking until the service is done. This becomes especially important when operating in multiple cities, because it keeps safety standards consistent across the entire fleet.
Maintenance dashboards and task automation
A maintenance dashboard centralises alerts, open issues, and upcoming service requirements.
With structured task management, teams can assign jobs, set priorities, track resolution times, and analyse recurring issues. ATOM Mobility’s Task Manager feature enables operators to convert alerts directly into trackable actions within one system. Alerts that turn into tasks automatically make it clear what needs fixing and when it should be handled.
From reactive to predictive maintenance
With enough historical data, fleets can move beyond fixed intervals. Operators can identify patterns such as faster brake wear in specific models or higher damage rates in certain areas. Predictive maintenance allows servicing based on actual usage intensity, reducing unnecessary costs while preventing major failures.
For operators growing from 50 to 500 vehicles, automation delivers clear advantages:
- higher uptime, because issues are detected earlier
- lower operational costs, since preventive repairs are cheaper than breakdowns
- improved safety and compliance, with no missed service intervals
- better customer experience, with fewer malfunctioning vehicles
- clearer performance metrics for management decisions
Automation supports maintenance teams with clearer priorities and better data.
Building the right automation stack
Effective rental fleet maintenance automation typically requires:
- IoT hardware
- a fleet management platform with automated alerts
- configurable service rules
- a task dashboard
- task automation logic
- analytics tools
When these components are connected, maintenance becomes scalable and controlled instead of reactive. This is especially important for operators running scooter, bike, car sharing, or rental businesses, where uptime directly impacts revenue and retention.
Rental fleet maintenance automation makes maintenance more organised and easier to manage as you grow. IoT telematics, automatic diagnostics, mileage alerts, and task dashboards help create clear processes that support expansion.
For rental and shared mobility operators who want to grow steadily, automating maintenance is essential. It helps keep operations stable and supports long-term profitability.
Blog
Lime improved GPS. But parking compliance may need more than that
Lime improved GPS from 12m to ~1.5m accuracy - a big step forward for micromobility. 🚀 But parking compliance isn’t just about knowing where a vehicle is - it’s about proving it’s parked correctly. Real-world pilots (like Prague) show that physical verification (e.g. Bluetooth beacons) can significantly outperform GPS when it comes to actual compliance.
March 25, 2026
min. read
Lime just raised the bar for GPS-based parking compliance. But the bigger question is this: when cities want verified parking, is better GPS enough, or do operators need physical proof? That question matters more than ever.
Lime’s new LimeBike rollout in the UK comes with a major location upgrade. Lime says its new bikes can locate themselves to within 1.5 metres, a significant improvement from the roughly 12.3 metres typical in dense urban environments (this means that based on GPS data, a vehicle can be up to 12 meters farther or closer than the reported GPS location. Now this error is just 1.5 meters). That is real progress.
Lime’s upgrade is a meaningful step forward for GPS-based positioning. At the same time, cities are increasingly looking beyond positioning accuracy toward verifiable parking compliance.
Why this matters
Cities are becoming much less tolerant of parking disorder. In Kensington & Chelsea, the council seized 1,000 rental e-bikes by November 2025 and collected more than £81,000 in charges from operators.
That is the real backdrop for every operator today:
- stricter enforcement
- more political pressure
- less room for ambiguity
So yes, better GPS is good news. But it does not automatically mean cities will see parking as “solved.” A vehicle may be near a bay, beside a bay, or slightly outside it. In dense urban areas, that difference matters. Traditional GPS struggles there because of building interference, blocked satellite visibility, and signal reflections.
So the strategic question is no longer:
“Can we improve GPS?”
It is:
“What kind of system gives cities enough confidence to enforce parking rules fairly and consistently?”
What the Prague pilot showed
A European Commission-backed pilot in Prague tested a different approach: Bluetooth-based parking verification.
Across 25 parking locations and 989 parking events, the results were clear:
- 90.6% success rate for SparkPark (Bluetooth infrastructure)
- 38.4% success rate for GPS/GNSS positioning
- Technology readiness advanced from TRL 6 to 8/9
When the goal is verified parking inside a defined zone, infrastructure-based validation can significantly outperform vehicle-only (GPS) positioning.
GPS improvement vs physical verification
Lime’s move shows how far vehicle-side intelligence is improving. SparkPark points to a different model: verify the parking zone itself.
That distinction matters.
- GPS estimates where the vehicle is
- Infrastructure confirms whether it is correctly parked
Those are fundamentally different approach.
Why cities may prefer the second path
One of the key findings from the Prague pilot is not just technical - it is institutional. Cities often rely on operator-provided data to assess compliance. That creates a trust gap. What cities increasingly want:
- independent verification
- reliable compliance data
- less reliance on operator-reported positioning
This is why the conversation is shifting from “better accuracy” → “verifiable proof.”
What this means for ATOM Mobility partners
Parking compliance is becoming more important than ever:
- permit approvals
- permit renewals
- daily operational performance
Operators who can demonstrate verifiable compliance may have a clear advantage.
With ATOM Mobility, partners can explore:
- integration-ready compliance workflows as ATOM Mobility already implemented bluetooth-based parking verification together with SparkPark
- futher support for infrastructure-based validation like SparkPark
- 10x faster deployment without full fleet replacement
Instead of waiting for hardware cycles, operators can move faster and adapt to changing city expectations.
Lime deserves credit for pushing GPS accuracy forward. It is a meaningful step for the industry. But the Prague pilot highlights something equally important:
Micromobility parking may not be solved by better positioning alone. It may also require verification.
Not:
“Where is the vehicle likely parked?”
But:
“Can this parking event be verified with confidence?”
Final thought?
The future of parking compliance is likely evolving across two complementary paths:
Path 1: improve GPS accuracy
Path 2: implement physical verification
The first makes parking smarter. The second makes it more reliable and verifiable.
And in regulated urban mobility, confidence and trust often matter as much as precision.
Want to explore how ATOM Mobility can support stricter parking compliance workflows and how SparkPark technology works alongside the ATOM Mobility platform? Get in touch with our team to discuss integration options and city-facing parking control setups.
Sources:
Lime GPS upgrade announcement:
https://www.smartcitiesworld.net/micromobility/new-lime-bike-upgrade-to-hit-uk-streets-this-month-12568
West Midlands LimeBike rollout:
https://www.wmca.org.uk/news/new-limebike-to-launch-in-west-midlands/
Kensington & Chelsea enforcement data:
https://www.rbkc.gov.uk/newsroom/1000-e-bikes-seized-borough
Prague SparkPark pilot (EIT Urban Mobility):
https://marketplace.eiturbanmobility.eu/best-practices/high-precision-parking-for-shared-micromobility-in-prague
SparkPark:
https://sparkpark.no
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