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Presentation
Chapter 12 – Machine Learning in Transportation Data Analytics
Data Analytics for Intelligent Transportation Systems (2017)
  • Parth Bhavsar, Rowan University
  • Ilya Safro, Clemson University
  • Nidhal Bouaynaya, Rowan University
  • Robi Polikar, Rowan University
  • Dimah Dera, Rowan University
Abstract
The primary goal of this chapter is to provide a basic understanding of the machine learning methods for transportation-related applications. This chapter discusses how the machine learning methods can be utilized to improve performance of transportation data analytics tools. The chapter focuses on selected machine learning methods and importance of quality and quantity of available data. An example is provided along with the MATLAB code to present how the machine learning method can improve performance of data-driven transportation system by predicting a speed of the roadway section.
Publication Date
January 1, 2017
DOI
10.1016/B978-0-12-809715-1.00012-2
Citation Information
Parth Bhavsar, Ilya Safro, Nidhal Bouaynaya, Robi Polikar, et al.. "Chapter 12 – Machine Learning in Transportation Data Analytics" Amsterdam, NetherlandsData Analytics for Intelligent Transportation Systems (2017) p. 283 - 307
Available at: http://works.bepress.com/nidhal-bouaynaya/24/