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Assessing Communication Strategies in C-ITS Using n-Person Prisoner’s Dilemma

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Progress in Artificial Intelligence (EPIA 2022)

Abstract

In Cooperative Intelligent Transport Systems, road users and traffic managers share information for coordinating their actions to improve traffic efficiency allowing the driver to adapt to the current traffic situation. Its effectiveness, however, depends on i) the user’s decision-making process, which is the main source of uncertainty in any mobility system, and on ii) the ability of the infrastructure to communicate timely and reliably. To cope with such a complex scenario, this paper proposes a game theory perspective based on the n-Person Prisoner’s Dilemma as a metaphor to represent the uncertainty of cooperation underlined by communication infrastructures in traveller information systems. Results highlight a close relationship between the emergence of cooperation and the network performance, as well as the impact of the communication failure on the loss of cooperation sustainment, which was not recovered after the system was re-established.

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Acknowledgment

This work is a result of project DynamiCITY: Fostering Dynamic Adaptation of Smart Cities to Cope with Crises and Disruptions [reference NORTE-01-0145-FEDER-000073] supported by Norte Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF).

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Correspondence to António Ribeiro da Costa .

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da Costa, A.R., Kokkinogenis, Z., d’Orey, P.M., Rossetti, R.J.F. (2022). Assessing Communication Strategies in C-ITS Using n-Person Prisoner’s Dilemma. In: Marreiros, G., Martins, B., Paiva, A., Ribeiro, B., Sardinha, A. (eds) Progress in Artificial Intelligence. EPIA 2022. Lecture Notes in Computer Science(), vol 13566. Springer, Cham. https://doi.org/10.1007/978-3-031-16474-3_27

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  • DOI: https://doi.org/10.1007/978-3-031-16474-3_27

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  • Online ISBN: 978-3-031-16474-3

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