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SOUTHPARK - SOcial and Universal Technology HelPing to detect ARrivals via sdK

SOUTHPARK

SOUTHPARK - SOcial and Universal Technology HelPing to detect ARrivals via sdK

Call for proposal: 
H2020-SMEINST-2-2014
Link to CORDIS:
Objectives: 

ParkTAG has been set up as a company to address individual, as well as societal problems related to parking space search and road congestion by building a smart, integrated, technology-based, easy to use and cost-free system that renders the traffic more efficient thereby decreasing negative effects on humans and the environment while at the same time fulfilling today's need for fast and individualised urban mobility. The technology prototype is based upon an elaborated set of algorithms that match car drivers' predicted and actual behaviour in order to allocate nascent parking space.

The SOUTHPARK project is set up to fulfil two overall objectives:

  1. First, it will localise the ParkTAG system to the contexts of three European cities of more than one million inhabitants. The aim of the project is to demonstrate that the technology functions in the operational environment. This will be achieved when ParkTAG reduces the time of the participating test users spent on parking in three cities by 80 %.
  2. Second, the SOUTHPARK project will enhance the existing ParkTAG algorithms with a component that enables the technology to self-adapt to new local settings, thereby significantly reducing the implementation time and costs. This will enable the company to swiftly role out and commercialise the product on the world market. The ambition is to reduce both time and cost of localisation to new cities by 75% after the project.

The outcome of the project will be an ensemble of algorithms that have been tested on a large scale in the operational environment of three European cities. These algorithms will have the capacity to self-adapt to the parking situation in new cities thereby significantly decreasing the time millions of car drivers cruise to park. The technology will thus become a crucial part of the value chain in many products of the motorised vehicle industry.

Institution Type:
Institution Name: 
European Commission
Type of funding:
Key Results: 

Periodic Reporting for period 2 - SOUTHPARK (SOUTHPARK - SOcial and Universal Technology HelPing to detect ARrivals via sdK)

predict.io has been set up as a company to address individual, as well as societal problems related to smart mobility by building a smart, integrated, technology-based, easy to use and cost-free system that can easily be integrated in all kinds of mobility solutions. The outcome of the project will be an ensemble of algorithms that had been tested on large scale in the operational environment of different European cities.

The SOUTHPARK project is set up to fulfill two overall objectives:

First, it will enable innovative mobility solutions in Europe’s metropolitan areas. Predict.io will integrate the technology with its automated start and stop detection in different mobility apps. This will be achieved when the SDK generates 1 million data points a day for real-time applications as well as business analytics. We will follow the already developed commercialisation plan with the predict.io sales approach to explore and pursue business opportunities in the mobility sector and recruit a large-scale sample of data points. The goal is to enable more convenient, safer, environmentally friendlier, and efficient mobility solutions.

Second, the SOUTHPARK project will enhance the existing predict.io algorithms with a component that enables the technology to self-adopt to new local settings. In order to achieve this objective predict.io will repeatedly collect and analyse locally deviating data sources in order to identify, attune and optimise the locally diverging features for its STOP detection system. Thereby it will train and enhance the predict.io algorithms by testing and cross-testing large-scale datasets in the end generating a self-adopting component that can adjust itself to any type of local mobility situation. Fulfilling this objective will reduce the adaptation costs and time to localise to new local settings by estimated 75%.

Lead Organisation: 

Predict.io Gmbh

Address: 
ENGELDAMM 64 B
10179 BERLIN
Germany
EU Contribution: 
€1,389,298
Technologies: 
Development phase: