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Javier Palanca
Universitat Politècnica de València. Valencian Research Institute for Artificial Intelligence

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Journal article
Published: 17 June 2021 in Neurocomputing
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E-learning is a rapidly growing field, which is giving rise to a massive amount of digital learning objects. Sorting these objects properly so that they are correctly indexed in searches and recommendation systems is a challenge. In this paper, we present a semi-supervised method of clustering and classifying learning objects in video format to extract their most relevant topics, specifically from lesson transcripts. These videos come from the educational video platform of the Universitat Politència de València. The proposed method also uses open content from Wikipedia to help build the labelled dataset.

ACS Style

Alexandru Stefan Stoica; Stella Heras; Javier Palanca; Vicente Julián; Marian Cristian Mihaescu. Classification of educational videos by using a semi-supervised learning method on transcripts and keywords. Neurocomputing 2021, 1 .

AMA Style

Alexandru Stefan Stoica, Stella Heras, Javier Palanca, Vicente Julián, Marian Cristian Mihaescu. Classification of educational videos by using a semi-supervised learning method on transcripts and keywords. Neurocomputing. 2021; ():1.

Chicago/Turabian Style

Alexandru Stefan Stoica; Stella Heras; Javier Palanca; Vicente Julián; Marian Cristian Mihaescu. 2021. "Classification of educational videos by using a semi-supervised learning method on transcripts and keywords." Neurocomputing , no. : 1.

Conference paper
Published: 01 March 2021 in INTED2021 Proceedings
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ACS Style

Javier Palanca; Jaume Jordán; Vicente Julián. USING LEARNING BY DOING METHODOLOGY FOR TEACHING MULTI-AGENT SYSTEMS. INTED2021 Proceedings 2021, 3866 -3871.

AMA Style

Javier Palanca, Jaume Jordán, Vicente Julián. USING LEARNING BY DOING METHODOLOGY FOR TEACHING MULTI-AGENT SYSTEMS. INTED2021 Proceedings. 2021; ():3866-3871.

Chicago/Turabian Style

Javier Palanca; Jaume Jordán; Vicente Julián. 2021. "USING LEARNING BY DOING METHODOLOGY FOR TEACHING MULTI-AGENT SYSTEMS." INTED2021 Proceedings , no. : 3866-3871.

Journal article
Published: 05 November 2020 in Neurocomputing
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The electric vehicle (EV) is gradually being introduced in cities. The impact of this introduction is less due, among other reasons, to the lack of charging infrastructure necessary to satisfy the demand. In today’s cities there is no adequate infrastructure and it is necessary to have action plans that allow an easy deployment of a network of EV charging points in current cities. These action plans should try to place the EV charging stations in the most appropriate places for optimizing their use. According to this, this paper presents an agent-oriented approach that analyses the different configurations of possible locations of charging stations for the electric vehicles in a specific city. The proposed multi-agent system takes into account data from a variety of sources such as social networks activity and mobility information in order to estimate the best configurations. The proposed approach employs a genetic algorithm (GA) that tries to optimize the possible configurations of the charging infrastructure. Additionally, a new crossover method for the GA is proposed considering this context.

ACS Style

Jaume Jordán; Javier Palanca; Elena del Val; Vicente Julian; Vicente Botti. Localization of charging stations for electric vehicles using genetic algorithms. Neurocomputing 2020, 452, 416 -423.

AMA Style

Jaume Jordán, Javier Palanca, Elena del Val, Vicente Julian, Vicente Botti. Localization of charging stations for electric vehicles using genetic algorithms. Neurocomputing. 2020; 452 ():416-423.

Chicago/Turabian Style

Jaume Jordán; Javier Palanca; Elena del Val; Vicente Julian; Vicente Botti. 2020. "Localization of charging stations for electric vehicles using genetic algorithms." Neurocomputing 452, no. : 416-423.

Conference paper
Published: 27 October 2020 in Transactions on Petri Nets and Other Models of Concurrency XV
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With the number of people that live in cities increasing every year, the complexity of urban traffic increased as well, making it more necessary than ever to find solutions that are good for the citizens, energy-efficient, and environmentally friendly. One of the systems that are becoming more popular is carsharing, specifically free-floating carsharing: fleets of cars that are parked around a city that can be temporarily booked for private use within the borders of the city by the system users. In this work, we implement one of these systems over SimFleet, an agent-based fleet simulator. We present how the original SimFleet agents are adapted to our system and how they interact with each other, as well as the strategies they follow to address the urban traffic problem efficiently. Our implementation for the simulation of free-floating carsharing scenarios is crucial for companies or municipalities to make the necessary tests before deploying the systems in real life.

ACS Style

Pasqual Martí; Jaume Jordán; Javier Palanca; Vicente Julian. Free-Floating Carsharing in SimFleet. Transactions on Petri Nets and Other Models of Concurrency XV 2020, 221 -232.

AMA Style

Pasqual Martí, Jaume Jordán, Javier Palanca, Vicente Julian. Free-Floating Carsharing in SimFleet. Transactions on Petri Nets and Other Models of Concurrency XV. 2020; ():221-232.

Chicago/Turabian Style

Pasqual Martí; Jaume Jordán; Javier Palanca; Vicente Julian. 2020. "Free-Floating Carsharing in SimFleet." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 221-232.

Journal article
Published: 28 September 2020 in IEEE Access
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Although intelligent agent-based systems have existed for several years, the progression in terms of real applications or their integration in the industry have not yet reached the expected levels. During the last two decades, many agent platforms have appeared with the aim of simplifying the development of multi-agent systems. Some of these platforms have been designed for general purposes, while others have been oriented towards specific domains. However, the lack of standards and the complexity associated with supporting such systems, among other difficulties, have hampered their generalised use. This article looks in depth at the current situation of existing agent platforms, trying to analyse their current shortcomings and their expected needs in the near future. The goal of the paper is to identify possible lines of work and some of the most crucial aspects to be considered in order to popularize the application of agent technology as a dynamic and flexible solution to current problems. Moreover, the paper presents SPADE 3, a new version of the SPADE middleware, which has been totally redesigned in order to conform to the identified challenges. Finally, a case study is proposed to illustrate how SPADE 3 is able to fulfill these challenges.

ACS Style

Javier Palanca; Andres Terrasa; Vicente Julian; Carlos Carrascosa. SPADE 3: Supporting the New Generation of Multi-Agent Systems. IEEE Access 2020, 8, 182537 -182549.

AMA Style

Javier Palanca, Andres Terrasa, Vicente Julian, Carlos Carrascosa. SPADE 3: Supporting the New Generation of Multi-Agent Systems. IEEE Access. 2020; 8 ():182537-182549.

Chicago/Turabian Style

Javier Palanca; Andres Terrasa; Vicente Julian; Carlos Carrascosa. 2020. "SPADE 3: Supporting the New Generation of Multi-Agent Systems." IEEE Access 8, no. : 182537-182549.

Conference paper
Published: 06 July 2020 in Communications in Computer and Information Science
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To ensure cities sustainability, we must deal with, among other challenges, traffic congestion, and its associated carbon emissions. We can approach such a problem from two perspectives: the transition to electric vehicles, which implies the need for charging station infrastructure, and the optimization of traffic flow. However, cities are complex systems, so it is helpful to test changes on them in controlled environments like the ones provided by simulators. In our work, we use SimFleet, an agent-based fleet simulator. Nevertheless, SimFleet does not provide tools for easily setting up big experiments, neither to simulate the realistic movement of its agents inside a city. Aiming to solve that, we enhanced SimFleet introducing two fully configurable generators that automatize the creation of experiments. First, the charging stations generator, which allocates a given amount of charging stations following a certain distribution, enabling to simulate how transports would charge and compare distributions. Second, the load generator, which populates the experiment with a given number of agents of a given type, introducing them dynamically in the simulation, and assigns them a movement that can be either random or based on real city data. The generators proved to be useful for comparing different distributions of charging stations as well as different agent behaviors over the same complex setup.

ACS Style

Pasqual Martí; Jaume Jordán; Javier Palanca; Vicente Julian. Load Generators for Automatic Simulation of Urban Fleets. Communications in Computer and Information Science 2020, 394 -405.

AMA Style

Pasqual Martí, Jaume Jordán, Javier Palanca, Vicente Julian. Load Generators for Automatic Simulation of Urban Fleets. Communications in Computer and Information Science. 2020; ():394-405.

Chicago/Turabian Style

Pasqual Martí; Jaume Jordán; Javier Palanca; Vicente Julian. 2020. "Load Generators for Automatic Simulation of Urban Fleets." Communications in Computer and Information Science , no. : 394-405.

Journal article
Published: 12 May 2020 in Applied Sciences
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The massive presence of online learning resources leads many students to have more information than they can consume efficiently. Therefore, students do not always find adaptive learning material for their needs and preferences. In this paper, we present a Conversational Educational Recommender System (C-ERS), which helps students in the process of finding the more appropriated learning resources considering their learning objectives and profile. The recommendation process is based on an argumentation-based approach that selects the learning objects that allow a greater number of arguments to be generated to justify their suitability. Our system includes a simple and intuitive communication interface with the user that provides an explanation to any recommendation. This allows the user to interact with the system and accept or reject the recommendations, providing reasons for such behavior. In this way, the user is able to inspect the system’s operation and understand the recommendations, while the system is able to elicit the actual preferences of the user. The system has been tested online with a real group of undergraduate students in the Universidad Nacional de Colombia, showing promising results.

ACS Style

Stella Heras; Javier Palanca; Paula Rodriguez; Néstor Duque-Méndez; And Vicente Julian. Recommending Learning Objects with Arguments and Explanations. Applied Sciences 2020, 10, 3341 .

AMA Style

Stella Heras, Javier Palanca, Paula Rodriguez, Néstor Duque-Méndez, And Vicente Julian. Recommending Learning Objects with Arguments and Explanations. Applied Sciences. 2020; 10 (10):3341.

Chicago/Turabian Style

Stella Heras; Javier Palanca; Paula Rodriguez; Néstor Duque-Méndez; And Vicente Julian. 2020. "Recommending Learning Objects with Arguments and Explanations." Applied Sciences 10, no. 10: 3341.

Journal article
Published: 08 May 2020 in Neurocomputing
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In recent years, cities and especially urban mobility have undergone remarkable changes. Significant advances in technology have been translated into new mobility services for both goods and people. One evident change has been the transformation of traditional vehicle fleets into more open fleets, in the sense that their members can proactively decide whether or not they are part of a certain fleet and whether or not they perform certain services. Fleets of this type make the decision-making process to be highly distributed, and rule out some of the typically centralized decisions. The management and control of this type of open fleets is severely more complex and, for this reason, the availability of simulation tools that allow for their analysis can be very useful. In accordance with this, the main contribution of this work is the development of an agent-based simulation tool specifically designed for the simulation of new urban mobility models. In this way, the tool can simulate any type of fleet in different urban scenarios, including a solution of the Last Mile Delivery problem, which is also included as a proof of concept in this paper.

ACS Style

J. Palanca; A. Terrasa; S. Rodriguez; C. Carrascosa; V. Julian. An agent-based simulation framework for the study of urban delivery. Neurocomputing 2020, 423, 679 -688.

AMA Style

J. Palanca, A. Terrasa, S. Rodriguez, C. Carrascosa, V. Julian. An agent-based simulation framework for the study of urban delivery. Neurocomputing. 2020; 423 ():679-688.

Chicago/Turabian Style

J. Palanca; A. Terrasa; S. Rodriguez; C. Carrascosa; V. Julian. 2020. "An agent-based simulation framework for the study of urban delivery." Neurocomputing 423, no. : 679-688.

Journal article
Published: 23 October 2019 in Neurocomputing
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In this work, a methodology for applying semantic-based padding in Convolutional Neural Networks for Natural Language Processing tasks is proposed. Semantic-based padding takes advantage of the unused space required for having a fixed-size input matrix in a Convolutional Network effectively, using words present in the sentence. The methodology proposed has been evaluated intensively in Sentiment Analysis tasks using a variety of word embeddings. In all the experimentation carried out the proposed semantic-based padding improved the results achieved when no padding strategy is applied. Moreover, when the model used a pre-trained word embeddings, the performance of the state of the art has been surpassed.

ACS Style

Maite Giménez; Javier Palanca; Vicent Botti. Semantic-based padding in convolutional neural networks for improving the performance in natural language processing. A case of study in sentiment analysis. Neurocomputing 2019, 378, 315 -323.

AMA Style

Maite Giménez, Javier Palanca, Vicent Botti. Semantic-based padding in convolutional neural networks for improving the performance in natural language processing. A case of study in sentiment analysis. Neurocomputing. 2019; 378 ():315-323.

Chicago/Turabian Style

Maite Giménez; Javier Palanca; Vicent Botti. 2019. "Semantic-based padding in convolutional neural networks for improving the performance in natural language processing. A case of study in sentiment analysis." Neurocomputing 378, no. : 315-323.

Journal article
Published: 02 August 2019 in Future Generation Computer Systems
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This work presents an approach to model how the activity in social media of the citizens reflects the activity in the city. The proposal includes a gravitational model that deforms the surface of the city based on the intensity of the activity in different zones. The information is extracted from geolocated tweets (n=1.48×106). Furthermore, this activity affects how people move in a city. The path a user follows is calculated using the geolocation of the tweets that he or she publishes along the day. Several models are evaluated and compared using the Hausdorf’s distance (dH). The combination of gravitational potential with attraction to the destination points provides the best results, with dH=1176 against the Manhattan (dH=1203) or the geodesic (dH=1417) alternatives. Finally, the analysis is repeated with the data segmented by gender (n=2,826 paths, men=1,910, women=916). The results validate (p=0.000334) the studies that affirm that men travel longer distances (dM=4.73 km, αM=26.1°) with rectilinear trajectories, whereas women have shorter and more angled paths (dW=4.5 km, αW=32.2°), obtaining p values in path lengths and p=0.006 in the angles.

ACS Style

L. Rodríguez; J. Palanca; Elena del Val; M. Rebollo. Analyzing urban mobility paths based on users’ activity in social networks. Future Generation Computer Systems 2019, 102, 333 -346.

AMA Style

L. Rodríguez, J. Palanca, Elena del Val, M. Rebollo. Analyzing urban mobility paths based on users’ activity in social networks. Future Generation Computer Systems. 2019; 102 ():333-346.

Chicago/Turabian Style

L. Rodríguez; J. Palanca; Elena del Val; M. Rebollo. 2019. "Analyzing urban mobility paths based on users’ activity in social networks." Future Generation Computer Systems 102, no. : 333-346.

Conference paper
Published: 26 June 2019 in Transactions on Petri Nets and Other Models of Concurrency XV
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This paper presents the EMiR robot, which is based on the RobElf robotic platform. EMiR has been developed as a cognitive assistant robot which is able to detect and to classify the emotional state of the human with whom it interacts. Moreover, EMiR integrates a powerful recommendation module that allows the robot to suggest activities to be done by the humans taking into account the emotional states among other aspects.

ACS Style

J. A. Rincon; J. Palanca; V. Botti; A. Costa; P. Novais; V. Julian; C. Carrascosa. EMiR 2.0: A Cognitive Assistant Robot for Elderly. Transactions on Petri Nets and Other Models of Concurrency XV 2019, 273 -276.

AMA Style

J. A. Rincon, J. Palanca, V. Botti, A. Costa, P. Novais, V. Julian, C. Carrascosa. EMiR 2.0: A Cognitive Assistant Robot for Elderly. Transactions on Petri Nets and Other Models of Concurrency XV. 2019; ():273-276.

Chicago/Turabian Style

J. A. Rincon; J. Palanca; V. Botti; A. Costa; P. Novais; V. Julian; C. Carrascosa. 2019. "EMiR 2.0: A Cognitive Assistant Robot for Elderly." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 273-276.

Conference paper
Published: 22 June 2019 in Communications in Computer and Information Science
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Mobility in the urban environment has undergone notable changes in recent years. The mobility of people or goods has been adapting to new technologies, emerging new mobility services for the potential users. In this sense, traditional vehicle fleets in a city are being transformed into more open fleets where their members can proactively decide whether or not to carry out certain services, with some of the centralized decisions disappearing. The management in terms of organization and strategies to follow of this type of open fleets is much more complex, which is why simulation tools that allow their analysis can be very useful. In this way, this paper presents an agent-based simulation tool for open fleets in open environments. The tool is instantiable in any type of fleet, in the paper presents an example of a fleet of taxis.

ACS Style

Javier Palanca; Andrés Terrasa; Carlos Carrascosa; Vicente Julián. SimFleet: A New Transport Fleet Simulator Based on MAS. Communications in Computer and Information Science 2019, 257 -264.

AMA Style

Javier Palanca, Andrés Terrasa, Carlos Carrascosa, Vicente Julián. SimFleet: A New Transport Fleet Simulator Based on MAS. Communications in Computer and Information Science. 2019; ():257-264.

Chicago/Turabian Style

Javier Palanca; Andrés Terrasa; Carlos Carrascosa; Vicente Julián. 2019. "SimFleet: A New Transport Fleet Simulator Based on MAS." Communications in Computer and Information Science , no. : 257-264.

Conference paper
Published: 20 June 2019 in Advances in Intelligent Systems and Computing
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Assisting the elderly is today a necessity and a responsibility of our society. As they reach old age they need more assistance and companionship when they eventually live alone. In this context, technology, and cognitive assistants in particular, can help in the task of caring for our elderly. In this work, we have developed an assistant robot for the elderly, called Rassel, that helps to take care of senior people who is living alone, helps them to keep active by recommending custom activities and also helps with their health assistance by monitoring their vital signs and maintaining contact with relatives or emergency contacts if a medical urgency occurs. This robot has been developed and presented in the IBM Country Project ‘Cogs for Good’.

ACS Style

Maite Giménez; Jaume Jordán; Javier Palanca; Jaime Rincon. Rassel: Robot Assistant for the Elderly. Advances in Intelligent Systems and Computing 2019, 5 -9.

AMA Style

Maite Giménez, Jaume Jordán, Javier Palanca, Jaime Rincon. Rassel: Robot Assistant for the Elderly. Advances in Intelligent Systems and Computing. 2019; ():5-9.

Chicago/Turabian Style

Maite Giménez; Jaume Jordán; Javier Palanca; Jaime Rincon. 2019. "Rassel: Robot Assistant for the Elderly." Advances in Intelligent Systems and Computing , no. : 5-9.

Research article
Published: 18 March 2019 in Computer Applications in Engineering Education
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Multiagent systems (MASs) courses are nowadays present in most master's degrees in Artificial Intelligence. In such courses, students have to cope with the gap between some high‐level theoretical concepts and techniques that allow agents to reach agreements in order successfully cooperate (the so‐called Agreement Technologies) and their corresponding implementations to be used in real programs. If the learning outcomes of such courses include the development of actual (although reasonably simple) MASs, the incorporation of some strategy to make students enhance their initial programming skills becomes crucial for their success. In this context, this article presents both a tool called SimFleet and a teaching methodology that have been designed together to guide students throughout a typical MASs course and, specifically, to enhance their programming skills in order learn how to develop actual MASs.

ACS Style

Javier Palanca; Andrés Terrasa; Carlos Carrascosa; Vicente Julián. Improving the programming skills of students in multiagent systems master courses. Computer Applications in Engineering Education 2019, 27, 836 -845.

AMA Style

Javier Palanca, Andrés Terrasa, Carlos Carrascosa, Vicente Julián. Improving the programming skills of students in multiagent systems master courses. Computer Applications in Engineering Education. 2019; 27 (4):836-845.

Chicago/Turabian Style

Javier Palanca; Andrés Terrasa; Carlos Carrascosa; Vicente Julián. 2019. "Improving the programming skills of students in multiagent systems master courses." Computer Applications in Engineering Education 27, no. 4: 836-845.

Journal article
Published: 19 February 2019 in Energies
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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.

ACS Style

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 Style

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 (4):662.

Chicago/Turabian Style

Carlos 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.

Journal article
Published: 03 January 2019 in Expert Systems with Applications
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Urban mobility efficiency is of utmost importance in big cities. Taxi vehicles are key elements in daily traffic activity. The advance of ICT and geo-positioning systems has given rise to new opportunities for improving the efficiency of taxi fleets in terms of waiting times of passengers, cost and time for drivers, traffic density, CO2 emissions, etc., by using more informed, intelligent dispatching. Still, the explicit spatial and temporal components, as well as the scale and, in particular, the dynamicity of the problem of pairing passengers and taxis in big towns, render traditional approaches for solving standard assignment problem useless for this purpose, and call for intelligent approximation strategies based on domain-specific heuristics. Furthermore, taxi drivers are often autonomous actors and may not agree to participate in assignments that, though globally efficient, may not be sufficently beneficial for them individually. This paper presents a new heuristic algorithm for taxi assignment to customers that considers taxi reassignments if this may lead to globally better solutions. In addition, as such new assignments may reduce the expected revenues of individual drivers, we propose an economic compensation scheme to make individually rational drivers agree to proposed modifications in their assigned clients. We carried out a set of experiments, where several commonly used assignment strategies are compared to three different instantiations of our heuristic algorithm. The results indicate that our proposal has the potential to reduce customer waiting times in fleets of autonomous taxis, while being also beneficial from an economic point of view.

ACS Style

Holger Billhardt; Alberto Fernández; Sascha Ossowski; Javier Palanca; Javier Bajo. Taxi dispatching strategies with compensations. Expert Systems with Applications 2019, 122, 173 -182.

AMA Style

Holger Billhardt, Alberto Fernández, Sascha Ossowski, Javier Palanca, Javier Bajo. Taxi dispatching strategies with compensations. Expert Systems with Applications. 2019; 122 ():173-182.

Chicago/Turabian Style

Holger Billhardt; Alberto Fernández; Sascha Ossowski; Javier Palanca; Javier Bajo. 2019. "Taxi dispatching strategies with compensations." Expert Systems with Applications 122, no. : 173-182.

Conference paper
Published: 14 October 2018 in Transactions on Petri Nets and Other Models of Concurrency XV
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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.

ACS Style

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 Style

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.

Chicago/Turabian Style

C. 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.

Journal article
Published: 28 September 2018 in Logic Journal of the IGPL
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The main goal of this paper is to provide an approach to solve the problem of localization in mobile robots using multi-agent systems. Usually, the robot localization problem is solved in static environments by the addition of the needed sensors in order to help the robot, but this is not useful in dynamic environments where the robot is moving through different rooms or areas. The novelty of this dynamic scenario is that each room is composed of external devices that can enter or exit the system in a dynamic way and report the position where the robot is. In this way, we propose a multi-agent system using the SPADE multi-agent technology platform to improve the location of mobile robots in dynamic scenarios. To do this, we are going to use some of the advantages offered by the SPADE platform such as presence notification and subscription protocols in order to design a friendship network between sensors/devices and the mobile robots.

ACS Style

C Peñaranda; J Palanca; V Julian; V Botti. A flexible and dynamic mobile robot localization approach. Logic Journal of the IGPL 2018, 1 .

AMA Style

C Peñaranda, J Palanca, V Julian, V Botti. A flexible and dynamic mobile robot localization approach. Logic Journal of the IGPL. 2018; ():1.

Chicago/Turabian Style

C Peñaranda; J Palanca; V Julian; V Botti. 2018. "A flexible and dynamic mobile robot localization approach." Logic Journal of the IGPL , no. : 1.

Conference paper
Published: 20 June 2018 in Privacy Enhancing Technologies
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Electric vehicles are already a reality in many cities around the world. However, the penetration of the electric vehicle depends on several factors, including the existence of an adequate network of charging stations. This article aims to address this problem by defining a multi-agent system (MAS) that collects information about the state of a city and proposes different configurations for the location of charging stations. More specifically, the proposed system integrates information from heterogeneous data sources and applies a genetic algorithm to characterize the areas where charging stations could potentially be located. The system has been tested with real information from the city of Valencia (Spain).

ACS Style

Jaume Jordán; J. Palanca; E. del Val; V. Julian; Vicent Botti. MASEV: A MAS for the Analysis of Electric Vehicle Charging Stations Location. Privacy Enhancing Technologies 2018, 326 -330.

AMA Style

Jaume Jordán, J. Palanca, E. del Val, V. Julian, Vicent Botti. MASEV: A MAS for the Analysis of Electric Vehicle Charging Stations Location. Privacy Enhancing Technologies. 2018; ():326-330.

Chicago/Turabian Style

Jaume Jordán; J. Palanca; E. del Val; V. Julian; Vicent Botti. 2018. "MASEV: A MAS for the Analysis of Electric Vehicle Charging Stations Location." Privacy Enhancing Technologies , no. : 326-330.

Conference paper
Published: 07 June 2018 in Advances in Intelligent Systems and Computing
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The creation of a suitable charging infrastructure for electric vehicles (EV) is one of the main challenges to increase the adoption of this new vehicle technologies. In this article, we present a Multi-Agent System (MAS) that performs an analysis of a set of possible configurations for the location of EV charging stations in a city. To estimate the best configurations, the proposed MAS considers data from heterogeneous sources such as traffic, social networks, population, etc. Based on this information, the agents are able to analyze a large set of configurations using a genetic algorithm that optimizes the configurations taking into account a utility function.

ACS Style

Jaume Jordán; Javier Palanca; Elena Del Val; Vicente Julián; Vicente Botti. Using Genetic Algorithms to Optimize the Location of Electric Vehicle Charging Stations. Advances in Intelligent Systems and Computing 2018, 11 -20.

AMA Style

Jaume Jordán, Javier Palanca, Elena Del Val, Vicente Julián, Vicente Botti. Using Genetic Algorithms to Optimize the Location of Electric Vehicle Charging Stations. Advances in Intelligent Systems and Computing. 2018; ():11-20.

Chicago/Turabian Style

Jaume Jordán; Javier Palanca; Elena Del Val; Vicente Julián; Vicente Botti. 2018. "Using Genetic Algorithms to Optimize the Location of Electric Vehicle Charging Stations." Advances in Intelligent Systems and Computing , no. : 11-20.