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Smart Parking and Optimisation

Summary

Modern technology innovation has brought smart parking to councils, motorists and parking operators.

 

The resultant rich information is being optimised by using a combination of Video and Image data, IoT data, Artificial Intelligence and Machine Learning to improve convenience, congestion and urban mobility whilst lowering costs of parking and enforcement, and generally delivering practical information and intelligence to Smart City operators.

 

Collected data will also lead to an ability to predict and adapt to congestion events, and optimise revenue through seasonal and location related, demand-based pricing.

 

Data can even be processed in real-time on IoT Edge devices in zero-trust or low connectivity environments, with insights sent into the cloud for aggregation and modelling improvement as needed.

Data Collected

Sensor, Image and Video Feed Data

 

  1. Smart parking sensor data (low-infrastructure option available).
    Image and Video from dense parking areas.
    Parking Usage Related Data (empty and full spaces, occupancy, location, time-in-space, overstays, infringements).
    Smart Vehicle Counters.

 

Environmental and Contextual Data

 

  1. Events, Popular Locations and Nearby Attractions.
    Weather, Foot Traffic and Vehicle Traffic Patterns.
    Smart Parking Application Usage Data.

Key Technologies and Processes

Collect and Centralise the Data

 

  1. Pre-packaged sensor infrastructure, digital displays and smartphone applications to accelerate deployment.
    Accelerators to ingest unstructured image and video.
    Accelerators to ingest IoT and IoT Edge data into storage.
    Centralise Data on Cloud at Low Cost and High Availability.

 

Transform the Data into Useful Insights and Predictors

 

  1. Use Analytics and Artificial Intelligence to identify events and key features such as traffic and spaces from HD video and image data.
    Machine learning and analytics is used to combine features of unstructured data, IoT data and historian data to identify opportunities for optimising demand-based pricing.

Outcomes

  1. Smart Parking Applications, Maps, and Infrastructure.
    Adaptive digital street signage to adapt parking space types to suit whether, events and demand.
    Enable fair, cost-saving, intelligent parking enforcement.
    Real-time alerts and warnings.
    Enable collaboration between parking operators and councils.
    Minimise motorist travel time, pollution and congestion.
    Improve motorist convenience through booking and wayfinding whilst also improving compliance with time limits.
    Parking enforcement efficiency.
    Improve loading access for local businesses and parking availability for residents.
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