Big Data Analytics on Transportation

Big data analytics on
Transportation

Table of Contents
INTRODUCTION...........................................................................................................................3
Literature review..............................................................................................................................5
Research thesis.................................................................................................................................7
Research Philosophies.....................................................................................................................8
Ontology and creative practice........................................................................................................9
Research ethics..............................................................................................................................10
Theorising and conceptualising.....................................................................................................11
REFERENCES..............................................................................................................................12

INTRODUCTION
Overview
At its foundation, Big Data becomes vast volumes of data gathered from thousands of sites,
including operations networks, manufacturer experiences, local weather, contact centre, social
networking sites, automotive diagnostics, smart applications, and internet behaviour (Zhu, Ning
and Tang, 2018). Even before Big Data is first obtained, it is still unused and unorganised,
allowing sophisticated data analytics to derive lessons about this that could better assist
companies in making amazing business choices and forecasting what they may have to do in the
potential to remain successful. The word ‘big data' is used to convey a multitude of ideas such as
succeeding data processing capabilities, massive amounts of data, actual data analytics, social
network analysis, and many more. Businesses have attempted to analyse and learn how to
interpret a large collection of knowledge in creative and new ways to determine the best
outcome, regardless of which field they contribute towards.
Background of Research
Transport is a major part of contemporary life because it allows goods and individuals to move
between various places. Transportation have aided economic growth since the dawn of the
modern by transporting goods, capital, products, and individuals. That being said, transport is
hampered by issues such as traffic congestion on the roads (Ghofrani, Goverde and Liu, 2018).
Governments try to come up with efficient transport schemes that can increase traffic flow and
solve current traffic problems. The absence of objective evidence on real road conditions makes
developing a successful transportation plan difficult. As a result, when infrastructure
programmes are initiated, the administration might not have prepared a contingency plan. Since
possible traffic patterns are uncertain and difficult to forecast, the government could not have
prepared an appropriate diversion programme before highway programmes are initiated. As a
consequence, the road traffic authority is faced with the decision of whether to redesign the
entire highway grid or to expand existing road models.
Problem statement
Automated driving issues include road safety, depleting fuel supplies, environmental issues, and
insufficient public transportation. Such issues are particularly acute in places where vehicle
transportation is highly reliant.
Research Aim

The main aim of conducting this research is to evaluate the importance of Big data analysis in
Transportation industry.
Research Objective
 To determine the importance Big data analysis in determining the hidden pattern in
Transportation industry.
 To evaluate the market trends correlation of transport system and company sales.
 To analyse the consumer preference for transportation system by using Big data analysis
techniques.
Research question
 What is the importance Big data analysis in determining the hidden pattern in
Transportation industry?
 Define the market trends correlation of transport system and company sale?
 How consumer preference for transportation system by using Big data analysis
techniques?