Abstract
Smart Cities are experiencing a growing interest from different research areas. One of the challenges of Smart Cities is the design of an effective City Parking System that may contribute to improve the city life in terms of gas emission and air pollution in city centers, but also the everyday life of city dwellers by facilitating to park with the support of automatic parking services. In this work, an investigation on the use of software agents negotiation to accommodate both user and vendor requirements on a parking space is carried out. It is shown that agent negotiation allows to assign parking spaces in an automatic and intelligent manner by taking into account that users have their own needs regarding parking location and price, while parking vendors have their own needs regarding efficient allocation of parking spaces, and city regulations.
The research leading to these results has received funding from the EU FP7-ICT-2012-8 under the MIDAS Project (Model and Inference Driven - Automated testing of Services architectures), Grant Agreement no. 318786, and the Italian Ministry of University and Research and EU under the PON OR.C.HE.S.T.R.A. project (ORganization of Cultural HEritage for Smart Tourism and Real-time Accessibility).
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References
Di Napoli, C., Pisa, P., Rossi, S.: Towards a dynamic negotiation mechanism for qos-aware service markets. In: Pérez, J.B., et al. (eds.) Trends in Practical Applications of Agents and Multiagent Systems. AISC, vol. 221, pp. 9–16. Springer International Publishing, Switzerland (2013)
Haklay, M., Weber, P.: Openstreetmap: User-generated street maps. IEEE Pervasive Computing 7(4), 12–18 (2008)
Jennings, N.R., Faratin, P., Lomuscio, A.R., Parsons, S., Sierra, C., Wooldridge, M.: Automated negotiation: prospects, methods and challenges. Int. Journal of Group Decision and Negotiation 10(2), 199–215 (2001)
Lopes, F., Wooldridge, M., Novais, A.: Negotiation among autonomous computational agents: principles, analysis and challenges. Artificial Intelligence Review 29(1), 1–44 (2008)
Nwana, J.S.: Software agents: An overview. Int. Journal of Group Decision and Negotiation 11(3), 205–244 (1996)
Pan, B., Crotts, J., Muller, B.: Developing web-based tourist information tools using google map. In: Sigala, M., Mich, L., Murphy, J. (eds.) Information and Communication Technologies in Tourism 2007, pp. 503–512. Springer Vienna (2007)
Polycarpou, E., Lambrinos, L., Protopapadakis, E.: Smart parking solutions for urban areas. In: 2013 IEEE 14th International Symposium and Workshops on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), pp. 1–6 (2013)
Teodorović, D., Lučić, P.: Intelligent parking systems. European Journal of Operational Research 175(3), 1666–1681 (2006)
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Di Napoli, C., Di Nocera, D., Rossi, S. (2014). Agent Negotiation for Different Needs in Smart Parking Allocation. In: Demazeau, Y., Zambonelli, F., Corchado, J.M., Bajo, J. (eds) Advances in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection. PAAMS 2014. Lecture Notes in Computer Science(), vol 8473. Springer, Cham. https://doi.org/10.1007/978-3-319-07551-8_9
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DOI: https://doi.org/10.1007/978-3-319-07551-8_9
Publisher Name: Springer, Cham
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