Standstill Events
Standstill Events is a data product from Mobito that pinpoints where and how long vehicles remain stationary, using anonymized telematics from over eight million vehicles globally.
Publisher review
Standstill Events is a data product from Mobito that pinpoints where and how long vehicles remain stationary, using anonymized telematics from over eight million vehicles globally. It serves fleet operators, urban planners, and site selectors who need to understand stop behavior for optimizing delivery routes, siting EV charging stations, or analyzing retail footfall patterns. The data is sourced from vetted automotive OEMs and fleet telematics providers, ensuring high-volume, real-world coverage across multiple vehicle types. By translating raw stop events into actionable mobility insights, the product fills a niche between raw probe data and aggregated traffic analytics.
The core capability is a detailed schema that records each stop with attributes such as start_time, end_time, latitude, longitude, duration, fuel_type, and vehicle_type. Data capturing frequency ranges from one second to one minute, allowing trajectory-level analysis of origin-destination flows, average speeds, and chosen routes. To protect privacy, all locations are anonymized using H3 hexagonal grid resolution (up to resolution 11), which aggregates precise coordinates into hexagonal cells of roughly 100 meters. Historical data batches and real-time streaming are both available, and the data can be enriched with additional vehicle sensors or mapped to different GIS systems. This granularity supports use cases like site selection for retail stores and EV charging stations, as well as transportation analytics for reducing delays.
In the market for vehicle location intelligence, Standstill Events competes with broader data enrichment platforms such as Apollo, Lead411, and LeadIQ, though those tools focus on B2B contact data rather than mobility telematics. A more direct competitor is Mobito's own probe data product, which offers timestamped location and speed but lacks the specific stop-event focus. Other alternatives include aggregated traffic data providers like Inrix or TomTom, but those typically offer road-level speed data rather than per-vehicle stop events. Standstill Events differentiates by providing vehicle-type and fuel-type context, enabling fleet-specific analysis that raw traffic feeds cannot match. Its reliance on a single data partner (Mobito) means coverage is tied to that network's OEM and fleet relationships.
The honest trade-offs: first, pricing is not publicly disclosed, so buyers must negotiate directly, which may disadvantage smaller teams. Second, the data is limited to vehicles with telematics devices, excluding non-connected cars, bikes, or pedestrians. Third, H3 anonymization at resolution 11 still reveals approximate stop locations, which may not satisfy the strictest privacy requirements for some jurisdictions. Fourth, the product is relatively new and lacks the long track record of established traffic data vendors, so reliability and support maturity are unproven at scale.
How it works
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Stop location and duration
Records precise latitude, longitude, start_time, and end_time for each stationary event, enabling analysis of where and how long vehicles pause.
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Vehicle type and fuel data
Includes fuel_type and vehicle_type attributes, allowing segmentation by electric, hybrid, or ICE vehicles and by passenger car, truck, or van.
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Global vehicle sourcing
Data comes from over eight million vehicles worldwide through vetted automotive OEMs and fleet telematics providers, ensuring broad geographic coverage.
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H3 hexagonal anonymization
Coordinates are aggregated to H3 grid resolution up to level 11 (roughly 100-meter hexagons) to protect individual vehicle privacy while retaining spatial context.
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Historical and real-time delivery
Offers both historical data batches and real-time streaming, with capturing frequency from one second to one minute for flexible analysis.
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Trajectory-level analysis
Enables origin-destination studies, average speed calculations, and route choice modeling by linking stop events into full vehicle trajectories.
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GIS and mapping integration
Data can be mapped to different GIS systems and enriched with additional vehicle sensors, supporting custom visualization and analysis workflows.
Strengths and trade-offs
Strengths
- Provides stop-level granularity with start_time and end_time attributes, enabling precise dwell time analysis for site selection and route planning.
- Sources data from over eight million vehicles globally through vetted OEMs and fleets, ensuring high-volume, real-world coverage across multiple regions.
- Includes fuel_type and vehicle_type metadata, allowing fleet operators to segment stops by electric vs. ICE vehicles for EV charging infrastructure planning.
- Anonymizes locations using H3 hexagonal grid at resolution 11, balancing privacy protection with spatial accuracy for urban analytics.
Trade-offs
- Pricing is not publicly disclosed, requiring direct negotiation with Mobito and potentially limiting access for smaller organizations or one-off projects.
- Data is restricted to vehicles equipped with telematics devices, excluding non-connected cars, bicycles, pedestrians, or public transit users from the analysis.
- H3 resolution 11 still reveals approximate stop locations within roughly 100-meter hexagons, which may not meet strict privacy requirements in some jurisdictions.
- As a relatively new product, it lacks the long track record and established support infrastructure of legacy traffic data providers like Inrix or TomTom.
Pricing context
Not publicly disclosed; pricing is available upon request from Mobito.
Getting started with Standstill Events
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Request access from Mobito
Contact Mobito's sales team to request access to Standstill Events. Provide details about your use case, such as fleet optimization or site selection, to receive pricing and onboarding instructions. Expect a direct negotiation process.
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Connect to data source
Set up a secure connection to Mobito's data delivery system. Choose between historical batch exports or real-time streaming endpoints. Authenticate using the credentials provided during onboarding to access the vehicle stop event data.
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Configure H3 anonymization
Select the H3 hexagonal grid resolution for location anonymization, up to level 11 (approximately 100-meter hexagons). Adjust the resolution based on your privacy requirements and spatial analysis needs, balancing detail with data protection.
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Analyze stop events by vehicle type
Query the stop event schema to filter by fuel_type and vehicle_type attributes. For example, isolate electric vehicle stops to identify high-demand areas for EV charging station placement, using start_time and end_time to calculate dwell durations.
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Integrate into GIS workflow
Map the stop event data to your GIS system for visualization and further analysis. Enrich the data with additional vehicle sensors if available, and create custom dashboards to monitor stop patterns across regions or time periods.
Frequently Asked Questions
What is Standstill Events data used for?
Standstill Events data helps fleet operators optimize delivery routes, urban planners site EV charging stations, and site selectors analyze retail footfall patterns by providing precise stop locations and durations from over eight million vehicles globally.
How does Standstill Events protect vehicle privacy?
Standstill Events anonymizes all stop locations using H3 hexagonal grid resolution up to level 11, which aggregates precise coordinates into roughly 100-meter hexagons. This balances spatial accuracy for analytics with individual vehicle privacy protection.
What vehicle types and fuel types are included in Standstill Events data?
Standstill Events includes fuel_type and vehicle_type attributes, allowing segmentation by electric, hybrid, or ICE vehicles and by passenger car, truck, or van. This enables fleet-specific analysis and EV charging infrastructure planning.
Can I get real-time vehicle stop data from Standstill Events?
Yes, Standstill Events offers both historical data batches and real-time streaming, with capturing frequency from one second to one minute. This supports flexible analysis for applications like live route optimization and delay reduction.
How does Standstill Events compare to traffic data from Inrix or TomTom?
Standstill Events provides per-vehicle stop events with vehicle-type and fuel-type context, unlike Inrix or TomTom which offer road-level speed data. This enables fleet-specific dwell time analysis that aggregated traffic feeds cannot match.
What are the limitations of Standstill Events data?
Pricing is not publicly disclosed, requiring direct negotiation. Data is limited to vehicles with telematics devices, excluding non-connected cars. H3 resolution 11 still reveals approximate stop locations, and the product is relatively new with unproven support at scale.
Alternatives
How Standstill Events compares
Direct head-to-head against 3 competitors. Picked by 7wData.
Standstill Events
- Pricing
- Not publicly disclosed; pricing is available upon request from Mobito.
- Target
- Standstill Events is a data product from Mobito that pinpoints where and how long vehicles remain stationary, using anonymized telematics from over eight million vehicles
- Strength
- Provides stop-level granularity with start_time and end_time attributes, enabling precise dwell time analysis for site selection and route planning.
- Watch for
- Pricing is not publicly disclosed, requiring direct negotiation with Mobito and potentially limiting access for smaller organizations or one-off projects.
Hopin
- Pricing
- Starts at $99/month for Starter plan
- Target
- Mid-market virtual/hybrid events
- Deployment
- Cloud SaaS
- Strength
- Networking features like breakout rooms
- Watch for
- Recent layoffs and product changes
vFairs
- Pricing
- Custom pricing only
- Target
- Enterprise trade shows
- Deployment
- Cloud SaaS
- Strength
- 3D virtual expo halls
- Watch for
- Higher cost for advanced features
Airmeet
- Pricing
- Free tier, paid from $99/event
- Target
- SMB webinars/summits
- Deployment
- Cloud SaaS
- Strength
- Social lounge networking
- Watch for
- Limited hybrid event support
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Sources
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