AN AGENT-BASED APPROACH FOR A SMART TRANSPORT SYSTEM

General information

Authors:
Cristian PEÑARANDA, Jorge AGUERO, Carlos CARRASCOSA, Miguel REBOLLO, Vicente JULIÁN

DOI:
10.14201/ADCAIJ2016526787

Volume:
Regular Issue 5 (2), 2016

Keywords:

multi-agent systems; smart cities; artificial intelligence

This paper presents a proposal for a Smart Transport System which is an application that facilitates the interconnection between people (citizens, tourists) and transport providers (Bus, metro, trains, trams), defining the services that everyone can request or offer. The system has been defined as a virtual organization where agents (representing actors of the transport system) can enter or leave into the system consuming or offering services. Due to the fact that modern urban public transport is increasingly an important service used by citizens in current cities, the proposed system will improve the use of resources while also ensuring time flexible mobility solutions for citizens.

References

Adam, E., Strugeon, E. G.-L., and Mandiau, R., 2012. MAS architecture and knowledge model for vehiclesdata communication. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 1(1):23–31.

Agüero, J., Rebollo, M., Carrascosa, C., and Julián, V., 2008a. Developing intelligent agents in the Android platform. In Sixth European Workshop on Multi-Agent Systems (EUMAS 2008), volume CD Press, pages 1–14. Bath, England.

Agüero, J., Rebollo, M., Carrascosa, C., and Julián, V., 2008b. Does Android Dream with Intelligent Agents? InInternational Symposium on Distributed Computing and Artificial Intelligence 2008 (DCAI 2008), volume 50, ISBN: 978-3-540-85862-1, pages 194–204. Salamanca, Spain.

Agüero, J., Rebollo, M., Carrascosa, C., and Julián, V., 2009. Developing Virtual Organizations Using MDD. In CEUR-WS, editor, CAEPIA09 Workshop on Agreement Technologies(WAT 2009), volume 635, ISSN:1613-0073, pages 130–141. Sevilla, Spain.

Agüero, J., Rebollo, M., Carrascosa, C., and Julián, V., 2012. Developing Pervasive Systems as Service-oriented Multi-Agent Systems. In 7th International ICST Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous 2010), volume 73, ISBN 978-963-9995-20-8 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, pages 78–89. Springer Berlin Heidelberg, Sydney, Australia. https://doi.org/10.1007/978-3-642-29154-8_7

Agüero, J., Rebollo, M., Carrascosa, C., and Julián, V., 2013. Towards the development of agent-based organizations through MDD. International Journal on Artificial Intelligence Tools (IJAIT), 2(2):1350002:1–1350002:35.

Android, 2014. The Android Software Development Kit (SDK). https://doi.org/10.1142/S0218213013500024

Argente, E., Julian, V., and Botti, V., 2008. MAS Modelling based on Organizations. In 9th Int. Workshop on Agent Oriented Software Engineering (AOSE08), pages 1–12.

Augusto, J., 2007. Ambient intelligence: the confluence of ubiquitous/pervasive computing and artificial intelligence. Intelligent Computing Everywhere, pages 213–234.

Bellifemine, F., Poggi, A., and Rimassa, G., 1999. JADE - A FIPA -compliant agent framework. In Proceedings of the Practical Applications of Intelligent Agents.

Bézivin, J., 2005. On the unification power of models. Software and Systems Modeling, 4(2):171–188. https://doi.org/10.1007/s10270-005-0079-0

Billhardt, H. and et al., 2016. Towards Smart Open Dynamic Fleets. Multi-Agent Systems and Agreement Technologies. LNCS, 571:410–424.

Brønsted, J., Hansen, K., and Ingstrup, M., 2007. A survey of service composition mechanisms in ubiquitous computing. In Second Workshop on Requirements and Solutions for Pervasive Software Infrastructures (RSPSI)'at Ubicomp.

Carrascosa, C., Giret, A., Julian, V., Rebollo, M., Argente, E., and Botti, V., 2009. Service Oriented Multi-agent Systems: An open architecture. In Autonomous Agents and Multiagent Systems (AAMAS), pages 1–2.

Chamoso, P. and de la Prieta, F., 2015. Swarm-Based Smart City Platform: A Traffic Application. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 4(2):89–97. https://doi.org/10.14201/ADCAIJ2015428998

Davidsson, P., Henesey, L., Ramstedt, L., Törnquist, J., and Wernstedt, F., 2005. An analysis of agent-based approaches to transport logistics. Transportation Research part C: emerging technologies, 13(4):255–271. https://doi.org/10.1016/j.trc.2005.07.002

Dignum, V., 2003. A model for organizational interaction: based on agents, founded in logic. Phd dissertation, Utrecht University.

Isabel, A. F. and Fernandez, R. F., 2015. Simulation of Road Traffic Applying Model-Driven Engineering. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 4(2):1–24. https://doi.org/10.14201/ADCAIJ2015420124

Kleppe, A., Warmer, J. B., and Bast, W., 2003. MDA Explained: The Model Driven Architecture: Practice and Promise. Addison-Wesley Professional.

Lujak M., O. S., Giordani S., 2015. Route guidance: Bridging System and User Optimization in Traffic Assignment. Neurocomputing, 151(1):449–460. https://doi.org/10.1016/j.neucom.2014.08.071

Mees, P., 2000. A very public solution: Transport in the dispersed city.

Zambonelli, F., Jennings, N. R., and Wooldridge, M., 2003. Developing multiagent systems: The GAIA methodology. ACM Trans. Softw. Eng. Methodol., 12(3):317–370. ISSN 1049-331X.

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