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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


Citation

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

Abstract

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.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Science
Institute for Mathematical Research
DOI Number: https://doi.org/10.1016/j.dib.2022.107901
Publisher: Elsevier
Keywords: Multi depot routing problem; Road capacity; Humanitarian operations; Disaster; Chaotic event
Depositing User: Ms. Nur Faseha Mohd Kadim
Date Deposited: 21 Nov 2023 08:35
Last Modified: 21 Nov 2023 08:35
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.dib.2022.107901
URI: http://psasir.upm.edu.my/id/eprint/100521
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