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Benchmark dataset for multi depot vehicle routing problem with road capacity and damage road consideration for humanitarian operation in critical supply delivery

The dataset for Multi Depot Dynamic Vehicle Routing Problem with Stochastic Road Capacity (MDDVRPSRC) is presented in this paper. The data consist of 10 independent designs of evolving road networks ranging from 14-49 nodes. Together with the road networks are the Damage file (DF) for each correspon...

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Main Authors: Anuar, Wadi Khalid, Lee, Lai Soon, Pickl, Stefan
Format: Article
Published: Elsevier 2022
Online Access:http://psasir.upm.edu.my/id/eprint/100521/
https://www.sciencedirect.com/science/article/pii/S2352340922001135
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spelling my.upm.eprints.1005212023-11-21T08:35:40Z http://psasir.upm.edu.my/id/eprint/100521/ Benchmark dataset for multi depot vehicle routing problem with road capacity and damage road consideration for humanitarian operation in critical supply delivery Anuar, Wadi Khalid Lee, Lai Soon Pickl, Stefan The dataset for Multi Depot Dynamic Vehicle Routing Problem with Stochastic Road Capacity (MDDVRPSRC) is presented in this paper. The data consist of 10 independent designs of evolving road networks ranging from 14-49 nodes. Together with the road networks are the Damage file (DF) for each corresponding road network. The DF simulates the damage level of roads within the networks due to a disaster source, thus affecting travel time and road capacity. We applied this data to test our proposed algorithm and validate our proposed model. This dataset served as an addition to the Vehicle Routing Problem (VRP) datasets that specifically addressed the road capacity problem during a disaster from an epicentre and could be used for other applications that constitute chaotic events and compromised road networks. Elsevier 2022-04 Article PeerReviewed Anuar, Wadi Khalid and Lee, Lai Soon and Pickl, Stefan (2022) Benchmark dataset for multi depot vehicle routing problem with road capacity and damage road consideration for humanitarian operation in critical supply delivery. Data in Brief, 41. art. no. 107901. pp. 1-11. ISSN 2352-3409 https://www.sciencedirect.com/science/article/pii/S2352340922001135 10.1016/j.dib.2022.107901
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description The dataset for Multi Depot Dynamic Vehicle Routing Problem with Stochastic Road Capacity (MDDVRPSRC) is presented in this paper. The data consist of 10 independent designs of evolving road networks ranging from 14-49 nodes. Together with the road networks are the Damage file (DF) for each corresponding road network. The DF simulates the damage level of roads within the networks due to a disaster source, thus affecting travel time and road capacity. We applied this data to test our proposed algorithm and validate our proposed model. This dataset served as an addition to the Vehicle Routing Problem (VRP) datasets that specifically addressed the road capacity problem during a disaster from an epicentre and could be used for other applications that constitute chaotic events and compromised road networks.
format Article
author Anuar, Wadi Khalid
Lee, Lai Soon
Pickl, Stefan
spellingShingle Anuar, Wadi Khalid
Lee, Lai Soon
Pickl, Stefan
Benchmark dataset for multi depot vehicle routing problem with road capacity and damage road consideration for humanitarian operation in critical supply delivery
author_facet Anuar, Wadi Khalid
Lee, Lai Soon
Pickl, Stefan
author_sort Anuar, Wadi Khalid
title Benchmark dataset for multi depot vehicle routing problem with road capacity and damage road consideration for humanitarian operation in critical supply delivery
title_short Benchmark dataset for multi depot vehicle routing problem with road capacity and damage road consideration for humanitarian operation in critical supply delivery
title_full Benchmark dataset for multi depot vehicle routing problem with road capacity and damage road consideration for humanitarian operation in critical supply delivery
title_fullStr Benchmark dataset for multi depot vehicle routing problem with road capacity and damage road consideration for humanitarian operation in critical supply delivery
title_full_unstemmed Benchmark dataset for multi depot vehicle routing problem with road capacity and damage road consideration for humanitarian operation in critical supply delivery
title_sort benchmark dataset for multi depot vehicle routing problem with road capacity and damage road consideration for humanitarian operation in critical supply delivery
publisher Elsevier
publishDate 2022
url http://psasir.upm.edu.my/id/eprint/100521/
https://www.sciencedirect.com/science/article/pii/S2352340922001135
_version_ 1783879923016925184
score 13.18916

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