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Multiagent Algorithm for the Generation of Path Matrix of the Linear System Y = AX, Used in the Estimation of the Origin-Destination Matrix

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Intelligent Technologies: Design and Applications for Society (CITIS 2022)

Abstract

Multiagent systems try to take advantage of the concurrency available in current computer architectures, which allows for to execution of several operations simultaneously, processing several tasks concurrently, or execute at the same time different applications on a single computer. This paper covers the implementation in the Java programming language of a multi-agent algorithm for generating and loading elements in the path matrix A that is part of the linear model Y = AX, used for the estimation of the Origin. The algorithm was implemented with multiagent systems on the JADE platform (Java Agent Development Framework). In addition, an Object-Oriented algorithm was implemented to compare its level of efficiency with the multi-agent algorithm, and the results arrived in tables and graphs explaining the concepts of efficiency were presented.

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Correspondence to Lina Patricia Zapata .

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Zapata, L.P., Castro Carrasco, F., Aguayo, J.L. (2023). Multiagent Algorithm for the Generation of Path Matrix of the Linear System Y = AX, Used in the Estimation of the Origin-Destination Matrix. In: Robles-Bykbaev, V., Mula, J., Reynoso-Meza, G. (eds) Intelligent Technologies: Design and Applications for Society. CITIS 2022. Lecture Notes in Networks and Systems, vol 607. Springer, Cham. https://doi.org/10.1007/978-3-031-24327-1_33

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