Urbiotica Case Studies Regulated Parking Management in Santa Barbara D'Oeste, Brazil
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Regulated Parking Management in Santa Barbara D'Oeste, Brazil

Regulated Parking Management in Santa Barbara D'Oeste, Brazil - Urbiotica Industrial IoT Case Study
Analytics & Modeling - Big Data Analytics
Infrastructure as a Service (IaaS)
Logistics & Transportation
Smart Parking

Optimising parking management efficiency is the main challenge of car park operators. Estapar is Brazil's most important car park operator. It needed a solution to simplify parking control, making the work of traffic wardens more efficient and improving the accessibility of vehicles to parking areas. The aim of the project developed for Estapar in Santa Barbara Oeste was to: optimise operating costs, increase the rotation and occupancy of spaces and, therefore, parking revenue, reduce the time spent looking for a parking space and improve the citizen's parking experience.

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Estapar is Brazil’s most important car park operator.
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Optimise parking control through a real-time integration of occupancy data captured with the payment information. The sensor information is collected on a built-in parking management web platform where it relates to the data that it receives from the payment systems. It enables real-time control of payment and use of each space, alerting traffic wardens of any violations in real time. Optimisation of time and management of resources. Software Components - ON-STREET PARKING MANAGEMENT

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Occupancy, Operating Cost, Parking Availability, Payment, Traffic Behavior
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[Process Optimization - Real Time Asset Tracking]
The location of individuals and assets can be identified in near real-time.
[Data Management - Data Analysis]
Cloud solutions enable aggregation of 'big data' to enable more robust analysis and lower costs.
[Management Effectiveness - Internal Collaboration]
Deeper integration of information across departments and business units improves internal collaboration and end-to-end customer service.

Revenue increased by 30%

More than 98% efficiency proved in detecting rotation and occupancy

Full deployment within 2 weeks.

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