Design and implementation of express logistics system based on graph database and Baidu map

Zhang, Xiaoliang; Zeng, Qingtao; Tang, Mingjie; Hui, Huang

doi:10.1109/itca52113.2020.00089

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Graphs and Graph Thinking1

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2024

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“…Typical examples include social networks, public transportation systems, and LNs. Numerous papers report from the successful use of graph-based technologies such as graph databases in logistics, for example, in [21].…”

Section: Graphs and Graph Thinkingmentioning

confidence: 99%

LogFarm: An Open Source Graph-based Simulator for Logistics Networks

Wuttke,

Hunker,

Rabe

2024

SNE

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Logistics networks are complex systems that are often subject to simulation to gain insights. For the computer-aided simulation, simulation tools are used that are also referred to as simulators. In this article, a novel open-source simulator for logistics networks is introduced. The key feature of the tool is its graph-based mode of operation and its usage of simulation models that are stored in graph databases. The simulator is designed to be used in a data farming framework, which means it can be used to generate data along the simulation. The article discusses the general idea and concept behind the authors' graph-based simulator as well as the implementation of an open-source prototype. The prototype is evaluated through the examination of two use cases and a test on the ARGESIM C14 benchmark.

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Section: Graphs and Graph Thinkingmentioning

confidence: 99%