Using trust degree for agents in order to assign spots in a Smart Parking

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ISSN online: 2255-2863

Prefijo Doi: 10.14201

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Lucas Fernando Souza De Castro
Federal University of Technology - Campus Ponta Grossa - Brazil
Brazil
Gleifer Vaz Alves
Federal University of Technology - Campus Ponta Grossa - Brazil
Brazil
André Pinz Borges
Federal University of Technology - Campus Ponta Grossa - Brazil
Brazil
Vol. 6 No. 4 (2017), Articles, pages 5-14
DOI: https://doi.org/10.14201/ADCAIJ201764514
Accepted: Dec 19, 2017
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Abstract

The process of searching for a parking spot could be a problem. There are computing solutions being developed to optimize this problem. One of these solutions is using multiagent systems (MAS). In this paper a MAS is developed in order to allocate spots in a smart parking using the framework JaCaMo. This MAS comprises of two types of agents: manager and drivers. The manager is responsible to administrate the parking spots which will be assigned for drivers according to a corresponding degree of trust. The trust degree is a value which shows the commitment of the driver before the manager. In order to verify the effectiveness of the MAS, several simulations were conducted in empirical scenarios. Experiments shows that the trust degree impacts in the parking spot allocation process.

Keywords:

Smart Parking, Multiagent system, JaCaMo, Trust models

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References

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