Application of Big Data Technology in Marketing Decisions for Railway Freight

Zhang, Xueyan; Gong, Depeng

doi:10.1061/9780784413753.172

Cited by 6 publications

(3 citation statements)

References 0 publications

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“…. Thaduri, Galar and Kumar Figure 1: Communication in typical European railway transport management system utilized [35]. The characteristics of increasing data volume related to equipment management of high-speed railway to summarize large datasets by using modern management methods to create a more complex situation of data management were demonstrated with emphasis on value and vital [36].…”

Section: Railways and Linear Assetsmentioning

confidence: 98%

Railway Assets: A Potential Domain for Big Data Analytics

Thaduri

Galar

Kumar

2015

Procedia Computer Science

119

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Two concepts currently at the leading edge of todays information technology revolution are Analytics and Big Data. The public transportation industry has been at the forefront in utilizing and implementing Analytics and Big Data, from ridership forecasting to transit operations Rail transit systems have been especially involved with these IT concepts, and tend to be especially amenable to the advantages of Analytics and Big Data because they are generally closed systems that involve sophisticated processing of large volumes of data. The more that public transportation professionals and decision makers understand the role of Analytics and Big Data in their industry in perspective, the more effectively they will be able to utilize its promise. This paper gives an overview of Big Data technologies in context of transportation with specific to Railways. This paper also gives an insight on how the existing data modules from the transport authority combines Big Data and how can be incorporated in providing maintenance decision making.

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Section: Railways and Linear Assetsmentioning

confidence: 98%

Railway Assets: A Potential Domain for Big Data Analytics

Thaduri

Galar

Kumar

2015

Procedia Computer Science

119

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“…It is possible to use big data on marketing decisions in the rail industry. In a study by Zhang and Gong (2014), marketing decision-making using this data is explained. Thus, it has been seen that big data not only provides benefits in technical matters but also plays a role in strategic decisions that will support the growth of the company.…”

Section: Big Data Applications In the Railway Industrymentioning

confidence: 99%

Advances in Big Data Applications for transportation: airline, highway, and railway

Rouyendegh¹,

Nacar

2021

CEREM

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Aim: The purpose of this article is to present the latest advances in big data applications in the industries of the transportation sector such as airline, highway, and railway. It is difficult to analyze data in transportation because there is continuous real-time data flow. Since the improvements made are fast with the same logic, it is necessary to catch up with the new developments. Data should be analyzed with the big data concept because data stacks highly contain non-structural data types in transportation data. Although the mentioned industries are complementary to each other, the applications differ depending on the needs of the industry. Thus, solutions to specific problems in different industries using big data applications should be addressed. Design / Research methods: In accordance with the purpose of the study, big data studies that provide added value to the transportation sector were examined. Studies have been filtered through some criteria which are whether the application is adaptable to the industry, the study is available online in full-text, and its references are from respectable sources. Conclusions / findings: All the big data application studies in the academy are not adaptable in real-life problems or suitable for all situations. For this reason, trying all of the applications will lead to moral and material losses for firms. This study is a guideline for companies to follow the developments in the big data concept and to choose the one that suits their problems. Thus, the gap between academia and industry was tried to close. Originality / value of the article: Although studies are referring to big data applications in the transportation sector, this study differs from others in terms of specifically analyzing big data applications in different industries such as airline, highway, and railway in the transportation sector

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“…Additionally, to assess the risk of a rail failure on the tracks of the Dutch railway network, a big data analysis approach has been used, with a large number of records from video cameras as input [21]. Big data technology has been presented for improving decision making for marketing decision makers of railway freight [22]. A survey covering operations, maintenance and safety was conducted to provide a comprehensive review of the applications of big data for the railway [23].…”

Section: Related Work a Railway Applications And Machine Learningmentioning

confidence: 99%