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This work proposes a persuasion model based on argumentation theory and users’ characteristics for improving the use of resources in bike sharing systems, fostering the use of the bicycles and thus contributing to greater energy sustainability by reducing the use of carbon-based fuels. More specifically, it aims to achieve a balanced network of pick-up and drop-off stations in urban areas with the help of the users, thus reducing the dedicated management trucks that redistribute bikes among stations. The proposal aims to persuade users to choose different routes from the shortest route between a start and an end location. This persuasion is carried out when it is not possible to park the bike in the desired station due to the lack of parking slots, or when the user is highly influenceable. Differently to other works, instead of employing a single criteria to recommend alternative stations, the proposed system can incorporate a variety of criteria. This result is achieved by providing a defeasible logic-based persuasion engine that is capable of aggregating the results from multiple recommendation rules. The proposed framework is showcased with an example scenario of a bike sharing system.
Carlos Diez; Javier Palanca; Victor Sanchez-Anguix; Stella Heras; Adriana Giret; Vicente Julián. Towards a Persuasive Recommender for Bike Sharing Systems: A Defeasible Argumentation Approach. Energies 2019, 12, 662 .
AMA StyleCarlos Diez, Javier Palanca, Victor Sanchez-Anguix, Stella Heras, Adriana Giret, Vicente Julián. Towards a Persuasive Recommender for Bike Sharing Systems: A Defeasible Argumentation Approach. Energies. 2019; 12 (4):662.
Chicago/Turabian StyleCarlos Diez; Javier Palanca; Victor Sanchez-Anguix; Stella Heras; Adriana Giret; Vicente Julián. 2019. "Towards a Persuasive Recommender for Bike Sharing Systems: A Defeasible Argumentation Approach." Energies 12, no. 4: 662.
Urban transportation involves a number of common problems: air and acoustic pollution, traffic jams, and so forth. This has become an important topic of study due to the interest in solving these issues in different areas (economical, social, ecological, etc.). Nowadays, one of the most popular urban transport systems are the shared vehicles systems. Among these systems there are the shared bicycle systems which have an special interest due to its characteristics. While solving some of the problems mentioned above, these systems also arise new problems such as the distribution of bicycles over time and space. Traditional approaches rely on the service provider to balancing the system, thus generating extra costs. Our proposal consists on an multi-agent system that includes user actions as a balancing mechanism, taking advantage of their trips to optimize the overall balance of the system. With this goal in mind the user is persuaded to deviate slightly from its origin/destination by providing appropriate arguments and incentives. This article presents the prediction module that will enable us to create such persuasive system. This module allow us to predict the demand for bicycles in the stations, forecasting the number of available parking spots (or available bikes). With this information the multi-agent system is capable of scoring alternative stations and routes and making offers to balance bikes across the stations. In order to achieve this, the most proper offers for the user will be predicted and used to persuade her.
C. Diez; V. Sanchez-Anguix; J. Palanca; V. Julian; A. Giret. Station Status Forecasting Module for a Multi-agent Proposal to Improve Efficiency on Bike-Sharing Usage. Transactions on Petri Nets and Other Models of Concurrency XV 2018, 476 -489.
AMA StyleC. Diez, V. Sanchez-Anguix, J. Palanca, V. Julian, A. Giret. Station Status Forecasting Module for a Multi-agent Proposal to Improve Efficiency on Bike-Sharing Usage. Transactions on Petri Nets and Other Models of Concurrency XV. 2018; ():476-489.
Chicago/Turabian StyleC. Diez; V. Sanchez-Anguix; J. Palanca; V. Julian; A. Giret. 2018. "Station Status Forecasting Module for a Multi-agent Proposal to Improve Efficiency on Bike-Sharing Usage." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 476-489.
Urban transportation systems have received a special interest in the last few years due to the necessity to reduce congestion, air pollution and acoustic contamination in today’s cities. Bike sharing systems have been proposed as an interesting solution to deal with these problems. Nevertheless, shared vehicle schemes also arise problems that must be addressed such as the vehicle distribution along time and across space in the city. Differently to classic approaches, we propose the architecture for a muti-agent system that tries to improve the efficiency of bike sharing systems by introducing user-driven balancing in the loop. The rationale is that of persuading users to slightly deviate from their origins/destinations by providing appropriate arguments and incentives, while optimizing the overall balance of the system. In this paper we present two of the proposed system’s modules. The first will allow us to predict bike demand in different stations. The second will score stations and alternative routes. This modules will be used to predict the most appropriate offers for users and try to persuade them.
C. Diez; V. Sanchez-Anguix; J. Palanca; V. Julian; A. Giret. A Multi-agent Proposal for Efficient Bike-Sharing Usage. Transactions on Petri Nets and Other Models of Concurrency XV 2017, 468 -476.
AMA StyleC. Diez, V. Sanchez-Anguix, J. Palanca, V. Julian, A. Giret. A Multi-agent Proposal for Efficient Bike-Sharing Usage. Transactions on Petri Nets and Other Models of Concurrency XV. 2017; ():468-476.
Chicago/Turabian StyleC. Diez; V. Sanchez-Anguix; J. Palanca; V. Julian; A. Giret. 2017. "A Multi-agent Proposal for Efficient Bike-Sharing Usage." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 468-476.