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Complete Curb Management – Video Analytics for All Things Mobility

Collect and share real-time data for all modes of mobility and curb usage, reducing traffic and enabling informed action.

Photo of Jordan Justus
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In the past few years we've seen the arrival micromobilty, ridesharing services as well as a shift towards a more delivery centric society – all of which have sparked a rapid growth in curb-space demand and fundamentally changed how vehicles use it. As a result, street traffic has gotten worse from vehicles looking for more short-term parking and ignoring local ordinances. Automotus video analytics helps cities better manage how these mobility & delivery companies use their curb space, mitigating their impact on traffic while still empowering personal mobility. 

Video analytics collect data and share real-time availability of curb space. This can be broken down for specific vehicle types from buses and passenger vehicles to ride-sharing zones and delivery trucks. More efficiently managing curb space by sharing availability data with drivers and ensuring compliance in vehicle specific zones helps reduce the impact curb side demand has on traffic and gets people to their destinations faster. 

This also extends to the usage of scooters and bikes, ensuring that administrators understand the volume they have on their street and how they're being used. Better managing these micro-mobility services also helps cities craft more well-informed policies to ensure that these devices aren't flooding the streets beyond what's necessary to meet the needs of their citizens. 

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

All real-time mobility data can be shared directly with relevant stakeholders – giving them insight into what their present options are and enabling a more efficient use of the entire mobility landscape.

Describe your solution's stage of development

  • Pilot - you have implemented your solution in a real-world scenario
  • Ready to Scale - you have completed and expanded your pilot and are seeing adoption of your solution by your intended user

Insights from previous testing (500 characters)

Automotus piloted our CurbSight software suite at Loyola Marymount University. At LMU we shared real-time availability, collected multi-modal transportation data, and automated enforcement processes along the curb. They increased compliance by over 40%, realized a 10 minute decrease in average time parked, and have used the analytics to adjust policies. We learned how necessary it is to build solutions that manage and provide data for the entire mobility landscape, painting a complete picture.

Tell us about your team or organization (500 characters)

Automotus was founded in 2017 in Los Angeles. Living in LA, we became well aware of the impact inefficient mobility can have on your life. Through research we learned that 30% of urban traffic is drivers searching for parking – this is only going to get worse with growth in delivery demand and ride-sharing. We formed a team of industry and technology experts to tackle this problem head on. www.automotus.co

Size of your team or organization

  • 2-10

Team or Organization URL

www.automotus.co

Are you submitting as a student team?

  • No

Are you submitting as a team from the Impact Area?

  • No

Funding Request

  • $50,000

Rough Budget (500 characters)

$50,000 We would provide and install 5 cameras running our video analytics software in high volume/high impacted areas around Michigan Central Station.

Describe how you would pilot your idea (1000 characters)

Our cameras would run our mobility video analytics software in high volume/high impacted areas to share real-time data relevant for all forms of mobility with key stakeholders, provide administrators with detailed analytics, and automate enforcement processes to increase compliance. This would be able to cover bus loading zones, ride-sharing pick-up zones, scooter/bike zones, and general on-street parking. Our team has already built out the necessary components to provide all of these solutions, it would just be a matter of paying for the hardware and installation.

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

Qualitative– Surveys: Do residents feel like they're able to access mobility more easily as a result of greater information availability? Have administrators been able to deploy resources, invest capital, or adjust policies/pricing more efficiently based on increased insight? Quantitative– (All of which are inherently measured in our system) Reduction in average time parked (increase in turnover) Reduction in non-compliance Reduce percentage of drivers searching for parking – measured by counting vehicles that pass by a vacant parking spot. Indicates percentage of drivers searching for parking as opposed to vehicles driving past.

Sustainability Plan (500 characters)

$1,500 per camera/video feed per year. Increased enforcement efficiency from notifying officers of violations generates increased revenues that far offset software pricing, as well as hard pricing should Detroit choose to expand on the pilot.

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Photo of Mackenzie Fankell
Team

Jordan Justus Thank you for sharing this proposal! It looks like you and your team have developed an exciting solution for pick-up/drop-off area congestion. I agree that this must be an issue that has become more prominent with the growing popularity of ride sharing. You may need to do some additional research on the impact area to see where the highest need is for this type of service. The Michigan Central Station is currently under construction, so I don't know how much of a need they will have for this service in the next year, but I am sure there will be a high need in the future once it is open. Perhaps there is another spot within our impact area with a high need that you could use to pilot.