Affiliations: [a] DICAM, Alma Mater Studiorum University of Bologna, 40136 Bologna, Italy
| [b] DICEAM, University Mediterranea of Reggio Calabria, Loc. Feo di Vito, 89122 Reggio Calabria, Italy
Correspondence:
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Corresponding author: Giuseppe M.L. Sarnè, DICEAM, University Mediterranea of Reggio Calabria, Loc. Feo di Vito, 89122 Reggio Calabria, Italy. E-mail: sarne@unirc.it.
Note: [1] A preliminary version of this study was presented at the 20th Workshop “from Objects to Agents” (WOA 2019), 26-28 June 2019, Parma (Italy) [1].
Note: [2] The authors contributed equally to this work, that has been developed at the Networks and Complex Systems (NeCS) Laboratory - Department of Engineering Civil, Energy, Environment and Materials (DICEAM) - University Mediterranea of Reggio Calabria.
Abstract: In the last decades, individual urban traffic flows have increased all over the world with a consequent growth of road congestion and environmental pollution. In this context, car-pooling is an interesting car-based alternative to satisfy the individual mobility demand by optimizing the car loading factor with respect to the number of passengers, provided that all the participants share trip origin and destination in the same time slot. To make the system more appealing, this paper proposes an on-demand car-pooling service adopting variable fares, on the basis of trip length and number of participants. Multi-agent, reputation and recommender system technologies in synergy with a routing algorithm have been used to this aim. Experiments on simulated data proved the potentiality of the proposed approach.
