A Big Data Application in Intelligent Transport Systems

Abstract:

Intelligent Transport Systems (ITS) theory is developed nearly a dozen years which is focused on building integrated transportation system, its success will inevitably have a fundamental change in the way the current traffic works. ITS is a large complex system, with integrated multidisciplinary knowledge to implement. The paper explores a new way of integrating big data insights with automated and assisted processes related to ITS. We show how innovation from China Si Chuan Province Traffic Management Bureau under our big data implementation to improve their business performance. With the new big data algorithm, we could predict drivers' behavior, and ultimately understand which factors are influencing the most. The architecture and implementation is thoroughly introduced in the paper, and we point out the future extension in the end.

• Periodical: Applied Mechanics and Materials (Volume 734)
• Pages: 365-368
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.734.365
• Online since: February 2015
• Authors: Hui Jun Yu, Zhi Gang Wang, Xiao Yan Liu, Dong Hu*
• Keywords: Bayesian Probability, Big Data, ITS, Video Monitoring

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