Results, Insights and Best-Practices from IIC Testbeds: INFINITE Testbed
Cloud virtualization or‘ software defined’ technologies to include connectivity, sensors, gateways and analytics to seamlessly integrate these significant technologies and domains in a way that will deliver business, economic and social impacts.
At the time INFINITE was going through the IIC testbed approval process, almost two years ago, the team proposed an anchor use case, called‘ Bluelight.’ The aim of Bluelight was to enable smarter and intelligent route planning for emergency ambulance services as they are dispatched to an incident and as they are en-route to the hospital. Providers of emergency ambulance services are critical public safety organizations. They are continually striving to develop and deliver a modern and quality pre-hospital emergency care service that is safe, responsive and fit for purpose within the context of tightening finances and continuously increasing demand on services. Smart Data can enhance and improve the service provided by emergency service vehicles such as ambulances. Consider the scenario where an emergency service vehicle is dispatched to an incident. The response time is critical. What if the real-time GPS data generated by the emergency service vehicle can be combined with other real-time data from diverse sources such as current traffic levels for all routes to the incident, location of roadwork, diversions and road closures? By combining and analyzing these diverse raw datasets in real-time to provide valuable and intelligent route planning and insights in terms of service delivery and optimization, it is expected that response times will improve, leading to better pre-hospital emergency care experiences and outcomes for patients. Other factors including regulatory and data privacy requirements must be taken into account to ensure compliance and security by design.
For the initial phase of the Bluelight use case, the testbed team obtained tracking data from the ambulance service’ s network to get a baseline understanding of ambulance behavior. The analytics capabilities of INFINITE were leveraged to combine the ambulance tracking data with publicly available open data relating to road traffic volumes, location of roadworks and weather reports throughout the country, for the same time period. The testbed team analyzed the patterns and built prediction models based on the patterns. This analysis enabled the team to gain insights into the factors that impact the ambulance flow and transit times based on the hour of the day, day of the week and week of the month. The testbed team has signed off on a number of successful phases and the results have helped to deliver Service Optimizations and drive improvements in Service Resilience & Service Flexibility.
3.1 Vertical Perspective
Flood Event Advisory Service: One of the vertical use cases within the INFINITE testbed reflects a smart city application: Data analytics is applied to a flood zone to improve an advisory service and quality of life for the public. This smart city use case is in the development phase and it will enable the automation of the collection and aggregation of relevant data from diverse sources, the design and development of analytics functions and flood prediction models as well as enabling an automated flood alert system.
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