Smart analytics helping to ease traffic snarl ups in urban mobility

Building a smart, integrated, technology-based system to make traffic more efficient is the key when it comes to dealing with road congestion and urban mobility. An EU-supported project is exploring ways of harnessing powerful algorithms to predict and manage urban mobility.

The SOUTHPARK project, based on the predict.io system is an SDK (Software Development Kit) which can be integrated in any kind of app, but also in smart cars or trains. Throughout the project, many different cases were identified that either use the real-time information of the detection or go into the direction of business intelligence using aggregated data.

Rendering processes such as, among others: parking payment automation; capacity planning for public transport, car sharing and rental bikes; handicapped guiding systems, and commuter travel analysis, the SDK stands to reduce bottle-necks in traffic systems. The project initially set out to cover issues relating to parking through their app ‘ParkTAG’ but broadened their scope as their work developed.

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Smart analytics helping to ease traffic snarl ups in urban mobility