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Updated: Oct 2, 2025

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
Published on: January 20, 2023
Benchmark dataset for multi depot vehicle routing problem with road capacity and damage road consideration for
Wadi Khalid Anuar1,2, Lai Soon Lee2,3, Stefan Pickl4
1Department of Logistics and Transportation, School of Technology Management and Logistics, Universiti Utara Malaysia, Sintok, Kedah 06010, Malaysia.
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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