Introducing OVER VPS for Ride-Sharing: A Game-Changer for Fleet Management

We’re excited to introduce a groundbreaking B2B solution leveraging OVER’s Visual Positioning System (VPS) to empower ride-sharing companies. This new service tackles one of the industry’s thorniest challenges—ensuring precise parking for dockless e-scooters and e-bikes—with centimeter-level accuracy.

 

The Parking Problem in Ride-Sharing

Ride-sharing companies operate fleets of e-scooters and e-bikes under two models: dockless and docked. Docked systems rely on fixed urban parking stations, while dockless systems offer flexibility by allowing vehicles to be parked anywhere within designated zones. The dockless approach is a win for scalability—no municipal infrastructure needed—and it minimizes the architectural footprint in crowded cities. But it comes with a catch: operational complexity.

Customers don’t always park in designated areas, and operators struggle to confirm proper parking using GPS alone. GPS accuracy hovers at 4-6 meters in open conditions and degrades to 10-15 meters in urban environments due to signal reflection off buildings. For a task requiring a maximum error of just 1 meter, GPS falls short.

 

OVER’s Solution: VPS-Powered Precision

Enter OVER’s VPS technology, built on a robust 3D Maps database. Our value proposition is simple yet powerful: an API-based service that seamlessly integrates into any ride-sharing app. Here’s how it works:

1. The Ride-Sharing App uploads a photo of the parked e-scooter or e-bike and its surroundings.
2. OVER’s servers analyze the image against our 3D Maps data.
3. The system returns the asset’s exact location—accurate to mere centimeters—relative to the designated parking zone.

Check out this demo video to see it in action:

 

Why Not Google Geo-Spatial Services?

You might wonder: why not use Google’s geospatial tools? After all, Google employs VPS to enhance navigation in urban areas where GPS falters. The answer lies in precision. While Google’s VPS excels at broad navigation, it lacks the sub-meter accuracy ride-sharing companies need for parking verification.

 

Consider this: Tier, a major player in micromobility, acquired Fantasmo—a specialist in precise VPS—because off-the-shelf solutions like Google’s couldn’t meet their needs. Google’s 3D maps, built from 360-degree imagery captured by its Street View cars every 10 meters or so, prioritize breadth over depth. OVER takes a different approach. Our 3D maps are crafted from 400-1,000 photos per 300 square meters, taken from multiple angles. This dense, diverse dataset delivers unmatched re-localization precision.

See the difference for yourself in this comparison:

 

Why VPS Matters for Dockless Ride-Sharing

So, how critical is this technology? OVER’s VPS service delivers value across three key areas:

1. Avoiding Fines: Improper parking can trigger steep penalties—think $150 per scooter in cities like San Francisco (SFMTA Fines). Precision localization slashes these costs.
2. Operational Savings: Fewer manual parking corrections mean lower labor expenses, saving thousands annually for large fleets.
3. Revenue Growth: Reliable parking improves customer satisfaction, boosting ride frequency and revenue potential.

 

The Numbers: A Savings Simulation

Let’s break it down with a hypothetical ride-sharing company operating 1,000 scooters:

• Assumptions:
  • 5% of parking attempts are incorrect (125 daily errors at 2.5 rides/day/scooter).
  • $150 fine per violation.
  • $5 logistical cost per correction.
  • VPS reduces errors by 90%.

Avoiding fines: a company with 1000 ride-sharing vehicles will generate 2,500 rides per day, with a 5% incorrect parking rate we have 125 incorrect parkings daily. With a fine cost of $150 we have $18,750  in potential fines daily, $6,843,750 yearly. With a reduction of 90% in incorrect parking thanks to the VPS service there is a saving in potential fines for $6,159,375. 

Of course not all of the infractions will be caught by local authorities, so let’s also assume that only 20% of incorrectly parked vehicles will actually get fined, the real savings in fines becomes $1,231,875. 

Operational savings: all of the incorrectly parked vehicles, whether they get fined or not, will have to be physically moved to a correct parking location to become usable/reachable for the next client. Manual intervention for parking corrections is labor-intensive. Under the assumption of 5 $ logistic cost for each parking correction we have 125*365 = 45,625 parking corrections yearly for a total additional cost of $228,125  yearly. The 90% reduction in incorrect parking delivered by the VPS service would result in $205,312  in additional yearly savings of logistical costs.

Revenue growth: enhancing the parking management improves customer experience, likely increasing usage. While exact revenue figures are company specific, better localization can lead to higher ride frequencies, as customers are more likely to use a service with reliable vehicle availability.

 

Total Annual Savings: $1,437,187 (fines + operations).

 

Market Opportunity: Dockless Ride-Sharing in 2025 and Beyond

The dockless ride-sharing market—spanning e-scooters and bikes—is booming. In 2025, it’s valued at $2.7 billion, fueled by urbanization and demand for sustainable transport. By 2030, it’s projected to hit $6.4 billion, with e-scooter sharing growing at 18.8% annually. Europe leads, thanks to its e-scooter dominance, followed by North America and Asia-Pacific.

 

2025 Regional Breakdown (USD million):

 

2030 Regional Market Sizes (USD million):

 

Sources: [Link1], [Link2], [Link3]

The VPS service for Ride-Sharing is only one of the value propositions developed by OVER inside its new OVER Business vertical, one of the most ambitious applications of a DePIN framework to generate revenues beyond the Web3 space. At the core of the VPS service there are the 3D maps generated thanks to OVER’s map2earn™ DePIN program.

 

The first pilot application for OVER VPS service for Ride-Sharing is already under development in London and Paris, stay tuned for next announcements!