Big data for V2X network

As the world becomes more advanced, people are consistently looking for ways to make our life more convenient. One of the areas would be made more intelligent is transportation. Using Dedicated Short-Range Communication, vehicles can share information such as speed, position and latitude with other...

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Bibliographic Details
Main Author: Zhang, Yaowen
Other Authors: Chong Han Joo Peter
Format: Final Year Project (FYP)
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10356/67944
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author Zhang, Yaowen
author2 Chong Han Joo Peter
author_facet Chong Han Joo Peter
Zhang, Yaowen
author_sort Zhang, Yaowen
collection NTU
description As the world becomes more advanced, people are consistently looking for ways to make our life more convenient. One of the areas would be made more intelligent is transportation. Using Dedicated Short-Range Communication, vehicles can share information such as speed, position and latitude with other neighbouring vehicles or Road Side Units (RSU). In the process, a large amount of data will be transmitted and shared. Hence, we can make use of the big data collected from the vehicles and apply techniques such as machine learning to discover some useful features from the data. The knowledge involved in this project is distributed over a wide range of issues. They are transport engineering, big data, machine learning, matlab programming, Cohda Wireless box's operation theory and Linux operation system. In this project, we will define a congestion problem, use an algorithm to find the extra time used for a vehicle to drive pass a congestion and simulate the data transmitting process between a Road Side Unit and a On Board Unit (MK 5). This project hopes achieve all the defined goals in the end.
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spelling ntu-10356/679442023-07-07T16:10:09Z Big data for V2X network Zhang, Yaowen Chong Han Joo Peter School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems As the world becomes more advanced, people are consistently looking for ways to make our life more convenient. One of the areas would be made more intelligent is transportation. Using Dedicated Short-Range Communication, vehicles can share information such as speed, position and latitude with other neighbouring vehicles or Road Side Units (RSU). In the process, a large amount of data will be transmitted and shared. Hence, we can make use of the big data collected from the vehicles and apply techniques such as machine learning to discover some useful features from the data. The knowledge involved in this project is distributed over a wide range of issues. They are transport engineering, big data, machine learning, matlab programming, Cohda Wireless box's operation theory and Linux operation system. In this project, we will define a congestion problem, use an algorithm to find the extra time used for a vehicle to drive pass a congestion and simulate the data transmitting process between a Road Side Unit and a On Board Unit (MK 5). This project hopes achieve all the defined goals in the end. Bachelor of Engineering 2016-05-23T07:52:19Z 2016-05-23T07:52:19Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/67944 en Nanyang Technological University 95 p. application/pdf
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems
Zhang, Yaowen
Big data for V2X network
title Big data for V2X network
title_full Big data for V2X network
title_fullStr Big data for V2X network
title_full_unstemmed Big data for V2X network
title_short Big data for V2X network
title_sort big data for v2x network
topic DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems
url http://hdl.handle.net/10356/67944
work_keys_str_mv AT zhangyaowen bigdataforv2xnetwork