Cities around the world are facing higher costs for maintaining and monitoring parking lots. This is due to a variety of reasons, including increasing urbanization and rising traffic volumes.
As an innovative provider of driver safety and driver assistance systems, Mercedes-Benz offers a unique solution to this "parking dilemma" by providing a comprehensive data set on available parking spaces, always based on a specific city or region.
Using the ignition and ultrasonic sensors of our Mercedes-Benz vehicle fleet, as well as historical parking data collected since 2017, our Parking Analytics product provides high-quality data-driven insights to monitor and maintain parking supply while reducing costs.
Take your parking solutions one step further with our Parking Analytics product by leveraging our API to identify, analyze, predict and deliver parking data insights.
Our parking analytics product collects parking data, analyzes the parking status-quo, and and displays the results on our user-friendly dashboard. This clearly visualizes parking probabilities and heat-maps so you can make the right decisions.
Your access to a comprehensive overview to openly present the current status of the parking infrastructure.
Detailed data-driven insights that help users stay informed about the current parking situation.
Leverage the Mercedes-Benz vehicle fleet to stay up-to-date and get continuous data updates that can be accessed via our developer API and integrated into applications and navigation services.
Insights into parking usage over time based on historical and current data.
Parking Space Type
Parking Spot Volume
Data security has priority: We only use anonymized status data from vehicles whose drivers have given their consent. This is the case with most Mercedes-Benz vehicles.
Collection of parking information by the customer fleet using advanced sensors, such as ignition sensors or ultrasonic sensors, and transmission of this to the Mercedes-Benz vehicle backend.
Analysis of current and historical parking data merged with a computer vision approach to to fully leverage the power of data.
Display of results on an interactive dashboard to communicate availability of parking infrastructure and insights on parking occupancy.
Here you can find a collection of questions we’ve been asked by our customers.
Based on Mercedes-Benz parking events and satellite imagery, it calculates whether on-street parking is allowed at a specific location. A confidence level is also given for this. Accordingly, the location of a parking space is derived from the position of the Mercedes-Benz Park Events and the detected parking area in the satellite images. GPS inaccuracy is not considered.
No, the model quality depends on various factors, e.g. event density, image quality, timeliness of the image data.
By statistical modeling of occupancy based on parking and exit events.
A higher event density and a heterogeneous use of the parking areas (by different vehicles) leads to the best results.
Parking Space Type; Time stamp; GPS Position; Distribution over Weekdays; Distribution over Daytime; Number of Parking Slots; Parking Availability; Occupancy Prediction
Our product experts will help you with finding the best product fit and guide you through our purchase and onboarding processes.