Enabling individual city systems – as well as the integrated systems across a smart city – to act and react in real time.
• Multiple, siloed systems of record in use across a city
• Large and very diverse geographic areas
• Different systems send data at different intervals and must be correlated
• Integrating multiple systems that have no connection or standardization between them
• Output of multiple data streams needs to be analyzed at once and in real time
• High volumes of data and/or latency concerns require processing on the edge
• Many rules/situations are complex and require human judgement to apply in collaboration with systems
VANTIQ applications monitor and direct the real-time flow of people, machines, and things across the city while also powering the entire system that connects these applications together in real time – a city-wide nervous system.
• Local and State Governments
VANTIQ POCs for various Smart Cities initiatives across the US and Canada are now in process and cover many different types of Smart City adoption, including everything from integration with POS systems for Rec center memberships, smart energy and grid monitoring, to working with digital twin solutions using sensors on shuttles to provide live data feeds and help provide better more accurate simulations and modeling.
One VANTIQ application in particular will be working with a digital twin solution to provide many insights for a Smart City initiative that will be announced in 2018 and is currently in POC. Public shuttles/busses will be outfitted with sensors of varying types to detect air quality, speed, vibration, temperature, light, and people. These data streams will be connected directly to a VANTIQ application which will process the information and turn the data streams into useable data such as pollen count (air quality), commute to work (speed), pothole locations (vibration), day planning (weather), and how many people are currently using or waiting for the shuttles and buses.
This information will be passed to VANTIQ’s digital twin modeling solution which will allow people to view this data in context; meaning you can see pollen count for your current location or at any location in the city. A department of transportation engineer can identify the location of potholes in the roads and their severity and impact on vehicles. People can see in real time the traffic for the commute to work using the shuttle or bus. And the transportation department can better identify the number of people using the shuttle and bus network, what the average wait times are, where the largest number of commuters are located – and what environmental/operational conditions are causing these results.