Big Data and Adaptive Services

It is predicted that the quantity of sensor data will dominate by factors 10-to-20 times that of current social media. How will future transportation sensor data be unlocked and turned into useful information?


Report: Big Data, Predictive Analytics and the Connected Vehicle 

Promise, Constraints and Limitations

Report coming in 2014 (working title)


Service-oriented architectures, data warehousing and data mining are tools that have generated previously unimagined insights, but are just begining to be applied in the transporation sector

"Big Data" and "Predictive Analytics" are about generating new insights from disparate siloed systems and data sources in real-time and across geographies and functions. This future technology scan will look at techniques to source, analyze, annotate, aggregate, adapt, structure and summarize previously "messy" data generated across connected communities. The report will speculate how new data ecosystems may evolve for the purpose creating new adaptive services -- services aimed at improving road user safety and mobility.


Contacts for ITS America's Technology Scan


Steven H. BaylessAdrian GuanSean Murphy and Patrick Son

 

This report is part of the Technology Scan and Assessment series. To learn more about USDOT's Connected Vehicle Research, visit USDOT ITS Joint Program Office website and read the Technology Scan and Assessment Fact Sheet.

 

 
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