IoT Scenarios

Introducing IoT Scenarios: Connecting Engineers, Use Cases and Real-World Applications. Submit, Like and Comment on IoT Scenarios.

To really understand the Internet of Things (IoT) requires application, implementation, and execution in the real world. IEEE IoT recently launched a program to provide the IoT community an interactive platform on which to engage with use cases, service descriptions, business models, and reference implementations that will be key to developing a vibrant IoT industry. This is a fantastic opportunity for you to contribute to the IoT cause, as well as get excellent exposure for your projects and ideas.

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MySpot

 
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Affiliation:
ICT CityPulse
Topic:
transport, mobile, crowd sourcing, easypark data, google data, open data
Description

Julia is an architecture student in Copenhagen who has a soft spot for Steve, an American exchange arrived in Denmark in early 2015. Julia invites him for a cup of coffee at Gustavo’s, a nice café downtown. They arrange to meet up at 4 pm next day. Before meeting Steve, Julia gets in touch with Elizabeth, a friend of hers, who recently had an appointment with a guy. In that unlucky occasion Elizabeth did not manage to find any parking slot in the surroundings of the established meeting point, so she was forced to park far away and got to the romantic café very late… with the result that: a) She was stressed; b) Her impatient waiter got extremely nervous; and c) She gave a significant contribution to pollute the air – consider that today 30% of urban pollution is caused by park-search time. Therefore Elizabeth warmly suggests Julia to use MySpot, the new app she discovered just a few days earlier which lets you find, select and book parking spots before you start the engine. This way massive traffic congestion and waste of precious time are both avoided. The app integrates a GIS-based navigation system with the Municipal smart parking sensors network, spread out all over the city. MySpot algorithm calculates the best track, giving the possibility to choose among different alternative routes, and the expected travel time – by visualizing data on a colored and interactive map – to reach the available parking slots that are closer to the desired destination. The best tracks are calculated not only considering the availability of free spots, but also integrating data from traffic, atmospheric events, accidents, etc.

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