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The City of Marietta, where parking is more than a lot

Marietta, GA, USA
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Verizon Public Sector
Contact Partner

Goverment Champion

Information Technology Department

Project Status

Operational since 2019

Keywords

parking
Congestion
Smart Parking
video
suburb

Challenges Addressed

Energy Efficiency
Parking

Motivation

Smart city

Funding / Financing

General Fund/Existing Public Funds

Project Type

Project

At a Glance

The city of Marietta needed to demonstrate parking occupancy rates in order to effectively plan for increased parking demand due to higher city density.

Problem Addressed

Marietta, Georgia with a population of roughly 61,000, is one of the largest suburban cities in the Atlanta metro area. As the city grows, so does the demand for parking.

The challenge was that Marietta needed to demonstrate parking occupancy rates. There still existed a disconnect between the perception that parking had become increasingly difficult to find and the fact that several free lots still had multiple spots available. As such, it became even more important that the extrapolated information from the existing hardware be accurate, as that data would be used to inform policy. Specifically, what Marietta needed was to be able to demonstrate how many cars were parking in the free lot at a given time, how long those cars were staying, and whether and how often the cars were overstaying their 2-hour limits.

Marietta used/is using parking optimization and lighting solutions to address this/these challenge(s).

Solution(s) Used

Marietta deployed Parking Optimization and lighting solutions with multiple dual-camera video nodes and energy efficient core node LEDs.

The analytics secured from these solutions helped dispel preconceptions and provide facts about parking opportunities and hurdles. Marietta learned that (1) people were parking their cars longer than the free two-hour limit, (2) contrary to popular belief, there were times when parking was not as scarce as perceived, and (3) in the mornings, parking occupancy was higher in the lot closest to Starbucks.

Outcomes

  1. The analytics secured from these solutions helped dispel preconceptions and provide facts about parking opportunities and hurdles.
  2. Based on the data obtained, the city was able to adjust their parking strategy to optimize for resident behavior.
  3. Took less than two weeks to deploy the next generation of the user-interface, which resolved 95% of the issues the city was having with previous vendors

Something Unique

The city tested different technologies to gather analytics but found that street-light-based cameras were best for determining parking occupancy rates. After running into issues with the original vendors Verizon took over managing the equipment and the responsibility of delivering a solution to meet their needs.

Who Should Consider?

Suburban cities that want accurate data to drive decision making.

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