Predicting Behavior of Passengers Using Data Collected Through Smart Cards-Reference-Cited by-同舟云学术

Predicting Behavior of Passengers Using Data Collected Through Smart Cards

Published:2018 Issue: Volume: Page:127-156
ISSN:2326-6139
Container-title:Innovative Applications of Big Data in the Railway Industry
language:
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Author:

Ahlawat Gaurav¹,Gupta Ankit²^ORCID,Vatsa Avimanyou K³

Affiliation:

1. Panjab University, India

2. Chandigarh College of Engineering and Technology, India

3. University of Missouri, USA

Abstract

Many attempts have been made to derive insights and any useful information about the behavior of the passengers traveling using different data analytics approaches and techniques. The different ways the researchers have tried to model the travel behavior and also their attempt to measure the behavioral changes at an individual level will be discussed in this chapter. The insights derived using these methods can help policy makers and the authorities to make necessary and important changes to the railways. The transit systems of the Railways provide us with the data, which is analysed using different techniques and methodologies and derived insights from.

Publisher

IGI Global

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