Parquery Analytics & Statistics


Increase revenue and make data-driven operational decisions based on factual parking data


How a Swiss retail shop uses parking statistics as crucial management tool.

Customer interview

Turn images into a decision-making tool

Parquery's smart parking solution extracts real-time parking occupancy data from camera images and transforms this parking data into meaningful factual knowledge through detailed statistics and analytics.

At first glance, the binary (yes/no) decision of whether a parking space is occupied or vacant might appear limited. Observed over a longer period of time, however, it becomes a powerful tool for identifying temporal and spatial usage patterns.

Parking occupancy data can answer questions such as:

Parquery provides statistics and structured analytics to customers

Does the capacity meet the demand? That is, is the parking lot sufficiently large but not over-dimensioned?

Where are popular spots or areas? Where are those little used?

When are times of high demand? When are periods of lulls?

Identify patterns: occupancy, turnover, duration


Parquery provides occupancy statistics on each parking area

Occupancy rate: percentage of occupied parking spaces at a given time

Parquery provides flow statistics on each parking area

Flow/turnover rate: number of vehicles arriving and departing at a given time

Parquery provides parking duration statistics on each parking area

Median duration: median parking time of vehicles that arrived at a given time


Once we expand this plain occupancy data by determining whether a vehicle in the current image of a parking spot is the same as in the previous one, we gain a range of information. It provides us with the vehicle’s arrival and departure times, from which we can establish the individual parking operations for each parking space. Hence, we can determine both

  • the parking duration (for how long a vehicle stays) and
  • the turnover (frequency of change, or how many different vehicles park in one spot) for each parking spot.


These three variables - occupancy, turnover, and duration - provide a comprehensive picture of the parking lot utilization and allow identifying occupancy patterns. They can be observed:

  • over time
    • to find daily, weekly, monthly, seasonally, or yearly repeating patterns
  • over area
    • to find spatial differences in the utilization of a parking lot, e.g., locate popular spots and less used ones (high vs. low average occupancy), identify those for quick stops (short duration and high turnover, e.g., to drop off passengers), find those used for longer-term stays (long duration and low turnover).

Answer operational questions:

Is my parking lot optimally utilized and managed? What can we improve?

Information about parking duration and turnover then answers detailed questions such as:


  • What are the typical usage patterns? That is, how do the drivers use the parking lot?
  • How does the use vary throughout the day, month, year?
  • When are times of high turnover (i.e., vehicles arriving and leaving)? When are quiet periods?
  • Are there local differences in the usage pattern within the parking lot? Do drivers prefer certain areas for short stays and others for longer-term parking?
  • Does it match the intended or expected use? Is the facility exploited for other purposes?
    For example, do drivers indeed switch to public transport after parking at the P+R facility? Is a retailer's parking lot used by their own customers? Are staff parking spaces used as free parking outside of business hours or during vacation periods?


Swiss retailer Hasler + Co AG manages its parking lots with Parquery. Occupancy statistics were crucial for their management decisions.

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Hasler Co AG has been using Parquery solution since 2018
Parquery gives decision-making tools to better manage parking lots

Combine several data sources for deeper understanding

Moreover, if we correlate parking data with additional domain information, we obtain in-depth analytics and a profound understanding of the situation. Such domain information might include, e.g., ticketing, sales, footfall data (people counting), marketing campaigns, or business hours.

Verify revenues

In addition, Parquery’s smart parking data allows verifying the revenue for metered or paid parking areas: Knowing how long vehicles were parked and in what period (of the day, week, month), we can estimate the expected income. Comparing this data with the collected revenues can reveal irregularities caused by, e.g., drivers, parking fee collectors, malfunctioning parking meters, etc.

Parquery’s Dashboard offers a convenient user interface for revenue estimation.

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How does parking occupancy data answer business questions and increase revenue?

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Obtain insights while protecting privacy

Parquery does not identify individual vehicles or process private and personal data such as license plates. Instead, the solution determines whether vehicles in successive images of the same parking spot are identical solely using their appearance (e.g., shape, color, type of vehicle, etc.).

Thus, Parquery’s smart parking analysis grants understanding of a parking lot without compromising drivers’ privacy. Privacy and data protection are at the forefront of Parquery’s considerations and, thus, built directly into the conceptual and technical solution.


Learn how


Parquery provides managers with insights while protecting privacy

More than 80 projects in over 30 countries worldwide


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