Multi-Agent Vehicle Share System

Adrián VALERA-ROMÁN, Diego MATEOS-MATILLA, Eduardo OLIVA-RUBIO, Álvaro PAULE-PEREDA

Abstract


A multi-agent system is proposed that simulates a network of vehicle rental stations in a city. The paper studies the relationship between the agents and the client, analyses the casuistry associated with possible problems that may be encountered in the absence of transport in a given stop, as well as the decisions that could be taken by the interested party. Subsequently, an architecture capable of being scalable in terms of functionalities and the number of agents involved in it will be proposed. The aim of this paper is to revise the original paper, which is more focused on the possibility of studying a particular city, raising and solving the problems associated with public vehicle sharing services.

Keywords


Multi-Agent; JADE; Vehicle share system; ecological;

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References


Du, J., He, R., and Zhechev, Z., 2014. Forecasting Bike Rental Demand. Gebhard, K., & Noland, R., 2013. The Impact of Weather Conditions on Capital Bikeshare Trips. TRB 2013 Annual Meeting

Kaltenbrunner, A., Meza, R., Grivolla, J., Codina, J., and Banchs, R., 2010. Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system. Pervasive Mob. Comput. 2010, 6, 455-466.

Alves, Ana Oliveira, Ribeiro, Bernardete., 2015. Consensus-based Approach for Keyword Extraction from Urban Events Collections. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, Salamanca, v. 4, n. 2, p. 41-60, ISSN 2255-2863.

Matos, D.M., Lopes, B., Bento Dei, C., and Machado, E.R., 2015. An Intelligent Bike-Sharing Rebalancing System, Universidade de Coimbra: Coimbra, Portugal.

Midgley, P., 2011. Bicycle-sharing schemes: Enhancing sustainable mobility in urban areas. Commun. Sustain. Dev., 18, 1-12.

Pablo Chamoso, Alfonso González-Briones, Alberto Rivas, Federico Bueno De Mata, and Juan Manuel Corchado, 2018). The Use of Drones in Spain: Towards a Platform for Controlling UAVs in Urban Environments. Sensors. MDPI.

Patil, A., Musale, K., and Rao, B.P., 2015. Bike share demand prediction using RandomForests. IJISET Int. J. Innov. Sci. Eng. Technol. 2015, 2.

Shaheen, S.A., Guzman, S., and Zhang, H., 2010. Bikesharing in Europe, the Americas, and Asia Past, Present, and Future. Transp. Res. Rec. J. Transp. Res., 2143, 159-167.

Souza De Castro, Lucas Fernando, Vaz Alves, Gleifer, and Pinz Borges, André, 2017. Using trust degree for agents in order to assign spots in a Smart Parking. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, Salamanca, v. 6, n. 2, 45-55, jun. 2017. ISSN 2255-2863

Yin, Y.-C., Lee, C.-S., and Wong, Y.-P., 2012. Demand Prediction of Bicycle Sharing Systems.




DOI: http://dx.doi.org/10.14201/ADCAIJ2019812735





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