January 2017
Intermediate to advanced
800 pages
24h 49m
English
Content preview from Internet of Things and Data Analytics Handbook
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34DEFRAGMENTING INTELLIGENT TRANSPORTATION: A PRACTICAL CASE STUDY
ALAN CARLTON1, RAFAEL CEPEDA1 AND TIM GAMMONS2
1InterDigital Europe Ltd, London, UK
2ARUP, London, UK
34.1 INTRODUCTION
The Transport industry is at a crossroads: embrace the future or try to preserve a status quo. Today, many industries are on a journey from closed data silos to the open possibilities of the Internet of Things (IoT). This legacy of silos has resulted from many decades of highly custom projects, protocols, and integration efforts, which have created a world of isolated islands of functionality. This approach is not sustainable in a world where increasingly profits and perceived value are moving to services and data.
The Transport industry has made good strides in the right direction. However, transport sector initiatives are not directed to opening data. Instead, to date it has been about defining protocols and technology to support the management of closed transport data and control center applications. Likewise, opening up existing data without addressing opening up the systems and the market will limit the use of that data in a geographically scalable and sustainable fashion. The value of the IoT lies in moving away from this single‐purpose‐asset paradigm to a multiuse disruptive one. Furthermore, it is not good enough if just one party opens up data for their own benefit and ends up creating yet another silo. Instead, what is needed is a truly open marketplace for data, where a multitude ...
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