Leveraging Big And Open Data + Video/Camera Modules To Design Intelligent Transportation Systems

Executive Summary

According to a UN report, 66% of the global population would be living in cities by 2050 ,1 a sizeable increase over current figures of 54%.2 Urban sprawl is a major consequence of this population increase as municipalities grapple with the challenges of providing efficient movement of people, goods and services across much greater distances and widespread communities. There’s been a lot of buzz lately on the expansion of smart city projects whose aim is to implement latest digital and information age technologies, for improving citizens’ quality of life.3 Smart transit projects, e.g. intelligent fleet management systems, driverless cars, and zero-emission transport, are expected to play a key role in shaping the future standards of public and private transportation and thus, have become major trending topics in the smart cities discussion.

Project Highlights

Big and open data sits at the heart of this transformative trend. The volume and sheer pace at which data is produced and consumed today is unprecedented, and is further being driven by trends like sensor integration, Internet of Things (IoT), public transport APIs and smartphone apps that feed on crowdsourced data to get an advanced feel on everything from vehicle safety to on-road traffic conditions and identifying the best connectivity routes between points A and B.
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