What is standstill events data?
Description
Standstill events data provides insights into where and for how long vehicles remain stationary. This data helps analyze stop locations and durations, offering valuable context for traffic and mobility trends.
Data Source
The data is sourced by millions of vehicles globally from our vetted partners including:
Automotive OEMs; vehicles with embedded connectivity from the car manufacturer
Fleets with after-sales in-vehicle hardware telematics devices
Use Cases
Standstill events data becomes even more powerful when combined with Probe Data, allowing for a deeper understanding of trip patterns, traffic volumes, and stop durations. Key applications include:
Site-selection: Identify optimal locations for retail store expansions and EV charging station deployments based on vehicle stop frequency and dwell times.
Route Planning: Companies with large vehicle fleets (e.g. transportation companies) use this data to optimise routes, reduce fuel consumption, and improve overall operational efficiency.
Transportation analytics: Traffic consultants, road operators, municipalities and SaaS analytics platforms use our data for understanding road safety, road usage, people movement and performing targeted before & after analytics to assess infrastructure and signage changes.
Standstill Events Data Schema
Main attributes
The following table provides the main data attributes that are available via the Mobito Standstill Events Data Product:
Attribute | Type | Description |
start_time | string | The time when the standstill event started (datetime UTC/ seconds) |
end_time | string | The time when the standstill event ended (datetime UTC/ seconds) |
h3 | string | H3 hash of the standstill event location in H3 resolution 11 |
latitude | double | The latitude of the centre of the H3 grid |
longitude | double | The longitude of the centre of the H3 grid |
duration | double | The full duration of the standstill event in seconds |
fuel_type | string | Fuel type that the vehicle uses |
vehicle_type | string | The vehicle category (passenger, light van, heavy truck, bus, other) |
Standstill Events Data Specs
Historicity
Historical data availability as of 2022. Availability differs per country.
Geographical granularity
Data can be delivered on the following geographical levels:
Custom polygon area
Specific road segment
Vehicle Types
The following vehicle types area available in the datasets (availability varies per country):
Passenger car
Light commercial vehicle (LCV). This is a van type of vehicle. Examples:
(Renault Master, Renault Trafic, Mercedes-Benz Sprinter, Peugeot Boxer, Volkswagen Crafter, Fiat Ducato, Opel Crossland, Citroen Berlingo etc.)
Heavy truck (more than 3.5 tones)
Bus
Other (unclassified)
Data Anonymisation
A data anonymisation is applied on the data. Key features include:
No Exact Locations: Rather than providing precise latitude and longitude coordinates, Mobito utilizes the H3 hexagonal grid system to generalize locations.
H3-Resolution-11 Precision: Each location is mapped to a hexagonal area ensuring privacy while preserving analytical value.
FAQs
How is a vehicle type defined?
How is a vehicle type defined?
A vehicle type is determined either through algorithms that analyze the make and model (e.g., VIN decoding) or through manual input within driver systems.
Can I choose a different H3 resolution level?
Can I choose a different H3 resolution level?
Yes, you can select a different H3 resolution level, but only a lower resolution (e.g. level 8) is available.
Can I access a sample of this data product?
Can I access a sample of this data product?
Yes! Mobito offers a free 3-day data sample for your preferred location. Send us a message and a Mobito expert will assist you in arranging the details.
For details on how to access the sample data, see Mobito Data Delivery Methods