A study and implementation of routing algorithms

This Final Year Project seeks to understand the routing methodologies and algorithms in search of an optimal solution to aid in solving the issue of being able to obtain the most optimal path for a vehicle to travel to multiple destinations. Multi-destination routing is a key focus area in the explo...

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Main Author: Looi, Aaron Seng Kit
Other Authors: Dusit Niyato
Format: Final Year Project
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10356/66651
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-666512023-03-03T20:51:04Z A study and implementation of routing algorithms Looi, Aaron Seng Kit Dusit Niyato School of Computer Engineering BMW BMW@NTU Future Mobility Research Lab DRNTU::Engineering This Final Year Project seeks to understand the routing methodologies and algorithms in search of an optimal solution to aid in solving the issue of being able to obtain the most optimal path for a vehicle to travel to multiple destinations. Multi-destination routing is a key focus area in the exploration of autonomous driving technologies as well as optimization of Global Positioning System routing to better aid drivers to search for the most optimal path available. This report will investigate 3 areas of interest namely: (1) The Travelling Salesman Problem, (2) Travelling Salesman Path Problem and (3) Probabilistic Travelling Salesman Path Problem. The aim of this project is to have an understanding of routing algorithms and develop some of the algorithms for analysis and improvements to develop constraints applicable to the real world that will enhance the search for an optimal solution to a vehicle routing problem. This project was developed in three stages relating to the 3 areas of interest, in order: (1) Travelling Salesman Problem, (2) Travelling Salesman Path Problem and (3) Probabilistic Travelling Salesman Path Problem. The project includes the development of the algorithms and the results of the implementation for the various algorithms for comparison and further optimization. The foundation algorithms are based on the TSP and can be used in relation to ultimately solve the PTSP optimization which will be able to determine a route resulting in the least amount of travel time taking into account real world constraints such as parking. Bachelor of Engineering (Computer Engineering) 2016-04-20T06:03:53Z 2016-04-20T06:03:53Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/66651 en Nanyang Technological University 67 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
spellingShingle DRNTU::Engineering
Looi, Aaron Seng Kit
A study and implementation of routing algorithms
description This Final Year Project seeks to understand the routing methodologies and algorithms in search of an optimal solution to aid in solving the issue of being able to obtain the most optimal path for a vehicle to travel to multiple destinations. Multi-destination routing is a key focus area in the exploration of autonomous driving technologies as well as optimization of Global Positioning System routing to better aid drivers to search for the most optimal path available. This report will investigate 3 areas of interest namely: (1) The Travelling Salesman Problem, (2) Travelling Salesman Path Problem and (3) Probabilistic Travelling Salesman Path Problem. The aim of this project is to have an understanding of routing algorithms and develop some of the algorithms for analysis and improvements to develop constraints applicable to the real world that will enhance the search for an optimal solution to a vehicle routing problem. This project was developed in three stages relating to the 3 areas of interest, in order: (1) Travelling Salesman Problem, (2) Travelling Salesman Path Problem and (3) Probabilistic Travelling Salesman Path Problem. The project includes the development of the algorithms and the results of the implementation for the various algorithms for comparison and further optimization. The foundation algorithms are based on the TSP and can be used in relation to ultimately solve the PTSP optimization which will be able to determine a route resulting in the least amount of travel time taking into account real world constraints such as parking.
author2 Dusit Niyato
author_facet Dusit Niyato
Looi, Aaron Seng Kit
format Final Year Project
author Looi, Aaron Seng Kit
author_sort Looi, Aaron Seng Kit
title A study and implementation of routing algorithms
title_short A study and implementation of routing algorithms
title_full A study and implementation of routing algorithms
title_fullStr A study and implementation of routing algorithms
title_full_unstemmed A study and implementation of routing algorithms
title_sort study and implementation of routing algorithms
publishDate 2016
url http://hdl.handle.net/10356/66651
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