The ride sharing routing problem : an optimization algorithm

We investigate the ride sharing routing problem from an algorithmic point of view. The research is conducted to the paper `Algorithms for Trip-Vehicle Assignment in Ride-Sharing' by Bei & Zhang, 2018 to find a better algorithm that provides more optimized output in a more efficient time. Th...

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Main Author: Lawrence, Lucas
Other Authors: Gary Royden Watson Greaves
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/148474
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1484742023-02-28T23:18:59Z The ride sharing routing problem : an optimization algorithm Lawrence, Lucas Gary Royden Watson Greaves School of Physical and Mathematical Sciences gary@ntu.edu.sg Science::Mathematics::Discrete mathematics::Graph theory Science::Mathematics::Applied mathematics::Optimization Science::Mathematics::Discrete mathematics::Algorithms We investigate the ride sharing routing problem from an algorithmic point of view. The research is conducted to the paper `Algorithms for Trip-Vehicle Assignment in Ride-Sharing' by Bei & Zhang, 2018 to find a better algorithm that provides more optimized output in a more efficient time. The objective of the problem is to assign each drivers to fetch two passengers given the locations of drivers, passengers' pick-up points and their destinations. We then designed an algorithm and observed that it produces smaller costs solution in most of the randomly generated data with time complexity $O(n^2\log n)$ for real valued weighted graph and $O(n^2)$ for integer valued weighted graph improved from the previous $O(n^3)$. Bachelor of Science in Mathematical Sciences 2021-04-27T08:18:10Z 2021-04-27T08:18:10Z 2021 Final Year Project (FYP) Lawrence, L. (2021). The ride sharing routing problem : an optimization algorithm. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/148474 https://hdl.handle.net/10356/148474 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Mathematics::Discrete mathematics::Graph theory
Science::Mathematics::Applied mathematics::Optimization
Science::Mathematics::Discrete mathematics::Algorithms
spellingShingle Science::Mathematics::Discrete mathematics::Graph theory
Science::Mathematics::Applied mathematics::Optimization
Science::Mathematics::Discrete mathematics::Algorithms
Lawrence, Lucas
The ride sharing routing problem : an optimization algorithm
description We investigate the ride sharing routing problem from an algorithmic point of view. The research is conducted to the paper `Algorithms for Trip-Vehicle Assignment in Ride-Sharing' by Bei & Zhang, 2018 to find a better algorithm that provides more optimized output in a more efficient time. The objective of the problem is to assign each drivers to fetch two passengers given the locations of drivers, passengers' pick-up points and their destinations. We then designed an algorithm and observed that it produces smaller costs solution in most of the randomly generated data with time complexity $O(n^2\log n)$ for real valued weighted graph and $O(n^2)$ for integer valued weighted graph improved from the previous $O(n^3)$.
author2 Gary Royden Watson Greaves
author_facet Gary Royden Watson Greaves
Lawrence, Lucas
format Final Year Project
author Lawrence, Lucas
author_sort Lawrence, Lucas
title The ride sharing routing problem : an optimization algorithm
title_short The ride sharing routing problem : an optimization algorithm
title_full The ride sharing routing problem : an optimization algorithm
title_fullStr The ride sharing routing problem : an optimization algorithm
title_full_unstemmed The ride sharing routing problem : an optimization algorithm
title_sort ride sharing routing problem : an optimization algorithm
publisher Nanyang Technological University
publishDate 2021
url https://hdl.handle.net/10356/148474
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