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Smart City System Parking Sensors

We digitize parking spaces with the help of sensor technology to improve the search for, management and use of parking spaces in cities.

Photo of Lorena Soto Casanova
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When we founded the company, we asked ourselves three fundamental questions:

1. Why do I still have to look for a parking space?

2. Why aren't parking spaces used more flexibly?

3. Why are parking areas so inefficiently controlled?

To solve these problems, we have developed a wireless above-ground sensor that digitizes the parking lot and makes it available as a digital twin via app or dashboard. After all, 30% of inner-city traffic is caused solely by the search for parking space. With our solution, we want to reduce traffic, the stress of citizens and, ultimately, harmful emissions in the city.

The idea is simple: there is a small, medium or large parking lot to manage or operate. Each parking space is equipped with its own parking sensor, which is wirelessly connected to the internet via a remote station. Thanks to our advanced algorithms and our reliable hardware, it is possible to determine around the clock and precisely for each parking space whether, when and for how long it is occupied.

Parking is more than just about streets and cars, but about helping people and improving communities.

How will your solution benefit residents, workers, or visitors in the Michigan Central Station impact area? (1,000 characters)

Our solution will benefit residents, workers and visitors through the optimized use of parking areas. By offering a user-friendly application to find a parking spot, stress, search time and emissions will be reduced. The ability to reserve or rent a parking spot or using our parking token which allows parking at a spot for an unlimited amount of time for employees, families or visitors, will also reduce the stress of searching in the city. Parking management companies are also given a way to efficiently regulate parking areas bringing with it an economic solution to the city. An app is already in place and functioning for parking lot managers which enables them to competently react to parked cars which have exceeded their parking time. Sensors on bus parking areas can also show residents and travelers directly to their bus making the search through a bus parking lot a thing of the past.

Describe your solution's stage of development

  • Fully Scaled - you have already scaled your solution and are exploring new use cases

Insights from previous testing (500 characters)

We're testing wireless ceiling sensors as the change in electric magnetic field that occurs on floor sensors when a car drives over it can be influenced by a car parking on the floor above. We are also now working with solar powered gateways for an even more environmentally friendly solution and tests have been working out well. Having an unlimited parking solution we learned is also important so we've conceptualized parking tokens for this. Have also upgraded to a more user-friendly app (B2B).

Tell us about your team or organization (500 characters)

We are a startup established on January 1st, 2017 by five students in Nuremberg, Germany. In two and a half years, we have grown to more than 40 employees and installed more than 35000 sensors. We've been achieved this bootstrapped, proving the great quality of our smart parking solution and the value it brings our clients and partners. Our team is made up of engineers, economists, and IT specialists among many other backgrounds who make up our dynamic teams.

Size of your team or organization

  • 11-50

Team or Organization URL

www.smart-city-sytem.com

Are you submitting as a student team?

  • No

Are you submitting as a team from the Impact Area?

  • No

Funding Request

  • $100,000

Rough Budget (500 characters)

The budget for this project will go into purchase of components, anufacturing and assembly, export and import of hardware, research and development, development of B2C app, hardware installation.

Describe how you would pilot your idea (1000 characters)

We will first install selected parking areas with sensors and gateways. Once logistics and installation procedures are reported to be well understood and running smoothly, the installation of the rest of the parking areas in the Michigan Central Station area will be completed. This will right away allow better management of parking areas. At the same time, the development of the B2C app to guide residents and travelers to available spots would begin. This will be done keeping the surrounding society in mind (languages, level of technological understanding, and, if possible, with input from residents). The app would also be developed with a reservation function (e.g. for employees) and rental function (e.g. for all residents). As a next step, working with bus companies, we would also develop an app to find exactly where a bus is as soon as it arrives on its spot. This data can also be integrated into automobile guidance systems to effortlessly navigate to open spots.

Describe how you would measure the success of your pilot (1000 characters)

We would measure the increased utilization and management of parking areas, adoptability through number of app downloads and use, serviceability and value through feedback from residents, decreased traffic challenge area, growth through partnerships and successful integration into automobile systems.

Sustainability Plan (500 characters)

As we have done in Germany, continued adoption into communities and businesses as well as increased partnerships will establish a stable revenue stream to cover costs and further growth. For this, Michigan Station can be a showcase project and outstanding example of building a smart city for its citizens, attracting attention and inducing new inquiries.

Social Media

linkedin.com/company/smart-city-system

1 comment

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Photo of Mackenzie Fankell
Team

Hi Lorena Soto Casanova Thank you for sharing this proposal! I am a Michigan Central Station Challenge facilitator. This looks like a fantastic solution to parking issues in urban areas. What have you learned through your pilot studies so far? What differences or unique challenges do you anticipate for implementing this solution in our impact area? Thank you!