Fleet management system for autonomous vehicles

With ever growing human population and land becoming a scarce resource measures are being taken to make the judicious use of existing resources. The autonomous vehicle is one such solution to reduce the space wasted in cities for building parking spots and roads. For the past few years several compa...

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Main Author: Ishaan Gupta
Other Authors: Rajesh Piplani
Format: Theses and Dissertations
Language:English
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/10356/69808
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-698082023-03-11T17:20:03Z Fleet management system for autonomous vehicles Ishaan Gupta Rajesh Piplani School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering With ever growing human population and land becoming a scarce resource measures are being taken to make the judicious use of existing resources. The autonomous vehicle is one such solution to reduce the space wasted in cities for building parking spots and roads. For the past few years several companies and universities worldwide have been working to build an autonomous vehicle. This dissertation discusses the work that can be done to add to the ecosystem of these autonomous vehicles. This dissertation discusses the future of human logistics when Autonomous Vehicle (A V) will be used as a mode of public transportation. There are 3 main areas that are focused upon: Firstly, a cloud-based Fleet Management System (FMS) for telematics, resource management, demand monitoring, status reporting of the A Vs and for passenger and A V safety; secondly a mobile based A V booking platform for ridesharing service with safety measures; and finally a hardware system compatible with the current and future generations of autonomous vehicles. Together, this report discusses the construction of a complete solution for current generation autonomous vehicles. Master of Science (Smart Product Design) 2017-03-29T01:03:39Z 2017-03-29T01:03:39Z 2017 Thesis http://hdl.handle.net/10356/69808 en 99 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Mechanical engineering
spellingShingle DRNTU::Engineering::Mechanical engineering
Ishaan Gupta
Fleet management system for autonomous vehicles
description With ever growing human population and land becoming a scarce resource measures are being taken to make the judicious use of existing resources. The autonomous vehicle is one such solution to reduce the space wasted in cities for building parking spots and roads. For the past few years several companies and universities worldwide have been working to build an autonomous vehicle. This dissertation discusses the work that can be done to add to the ecosystem of these autonomous vehicles. This dissertation discusses the future of human logistics when Autonomous Vehicle (A V) will be used as a mode of public transportation. There are 3 main areas that are focused upon: Firstly, a cloud-based Fleet Management System (FMS) for telematics, resource management, demand monitoring, status reporting of the A Vs and for passenger and A V safety; secondly a mobile based A V booking platform for ridesharing service with safety measures; and finally a hardware system compatible with the current and future generations of autonomous vehicles. Together, this report discusses the construction of a complete solution for current generation autonomous vehicles.
author2 Rajesh Piplani
author_facet Rajesh Piplani
Ishaan Gupta
format Theses and Dissertations
author Ishaan Gupta
author_sort Ishaan Gupta
title Fleet management system for autonomous vehicles
title_short Fleet management system for autonomous vehicles
title_full Fleet management system for autonomous vehicles
title_fullStr Fleet management system for autonomous vehicles
title_full_unstemmed Fleet management system for autonomous vehicles
title_sort fleet management system for autonomous vehicles
publishDate 2017
url http://hdl.handle.net/10356/69808
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