Join us to participate in the upcoming 2019 City:One Challenge. 


Parknav uses artificial intelligence to know where there is open on-street parking (free, metered and permit) for every street in real-time.

Photo of Jeremy Leval
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Parknav uses machine learning and predictive analytics to show drivers where there is open on-street parking in real-time. It is the only scalable solution that requires zero hardware and covers every street in a city, 24 hours a day/7 days a week, for all types of on-street parking (free, metered and permit) with accuracy that surpasses 80%. Our solution is licensed to automotive and related industries. Parknav’s customers include Car manufacturers (OEMs), Fleets (e.g. Utilities, Rental), and Geo and navigation infused producers such as maps providers, real estate, internet services, and mobility services with service that covers 255 cities throughout the USA and Europe. Parknav holds (3) issued USTPO patents and (1) pending PCT patent in the EU.

Describe who will use your solution (1,000 characters)

Our solution is used by those who drive in congested major cities across the United States in Europe. We have worked with various automotive manufacturers and our data solution was even integrated into a major German automaker's infotainment system. For the typical use-case, imagine the following: You are needing to drive to and park in a city where on-street parking is scarce and often difficult to find. You may or may not be familiar with the city, but you know finding parking will be a pain once you arrive at your destination. Luckily, you have Parknav. With Parknav, you can instantly see which streets are likely to have an open on-street parking space near your desired destination at any time. Additionally, Parknav can offer turn-by-turn voice guided navigation to guide you on the optimal route to drive where you are most likely to find an open on-street parking space the quickest.

Describe your solution's stage of development

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

Tell us about your team or organization (500 characters)

Prof. Dr. Eyal Amir, CEO - Prof. Amir received tenured Professorship at UIUC in 2009, after joining it in 2004 - Ph.D. in Computer Science from Stanford University (2001) - Recipient of IEEE "10 to watch in AI" (2006) - Received the CAREER Award from NSF - Awarded the Arthur L. Samuel award for best Computer Science Ph.D. thesis (2001-2002) at Stanford University Sergei Kozyrenko, CTO - 15 years of big-data systems engineering and software architecture

Size of your team or organization

  • 11-50

Funding Request

  • $100,000

Describe how you would pilot your idea (1000 characters)

Our pilot will consist of selecting a target area within Miami-Dade where on-street parking is scare/difficult to find. We will use the Challenge funding to bring this selected area online by acquiring all data necessary to provide an accurate long-term solution for the city. We have done this before and have extensive experience in being successful. Our solution is profitable by licensing the data either per vehicle (automotive industry), per user or per API call.

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

Our success is gauged by KPIs relating to the precision and recall of our prediction. We compile and analyze ground truth testing (where Challenge funds will also go) along with automated tests to continuously check and improve the accuracy of our prediction.


Join the conversation:

Photo of Matteo Cappelleti

Hey Jeremy Leval ! Thanks for your contribution! My name is Matteo, one of the community facilitaros here.
Have you considered any zone in Miami to start? How would you manage the third party parking apps that are currently being used in the cities?
Thanks for your contribution again!

Photo of Jeremy Leval

Hi Matteo Cappelleti ,

Absolutely. We want to cover as north as Highway 195, as east as Miami Beach, as south as S Dixie Highway and as west as SW 17th Ave. However, we are very flexible based on the needs of the County.

We have also seen Miami-Dade's new Transit Tracker application and think we would be a great addition to this application/solution via integration of our API.

Finally, the unique advantage of our patented solution is that we require ZERO hardware or modification to the existing infrastructure and our technology is proven (and live) in various cities around the globe.

Looking forward to solving the nightmare of on-street parking in the County!