Machine Learning in Transportation Data Analytics

Parth Bhavsar, Ilya Safro, Nidhal Bouaynaya, Robi Polikar, Dimah Dera

Research output: Chapter in Book/Report/Conference proceedingChapter

25 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationData Analytics for Intelligent Transportation Systems
PublisherElsevier Inc.
Pages283-307
Number of pages25
ISBN (Electronic)9780128098516
ISBN (Print)9780128097151
DOIs
StatePublished - Apr 14 2017

All Science Journal Classification (ASJC) codes

  • Social Sciences(all)

Fingerprint

Dive into the research topics of 'Machine Learning in Transportation Data Analytics'. Together they form a unique fingerprint.

Cite this