http://hdl.handle.net/2117/3944 Wed, 22 May 2013 16:51:59 GMT 2013-05-22T16:51:59Z webmaster.bupc@upc.edu Universitat Politècnica de Catalunya. Servei de Biblioteques i Documentació no http://hdl.handle.net/2117/19366 Title: IT or not to be: the impact of Moodle in the education of developing countries Authors: García Almiñana, Jordi; Somé, Michel; Ayguadé Parra, Eduard; Cabré Garcia, José M.; Casany Guerrero, María José; Frigola Bourlon, Manel; Galanis, Nikolaos; García-Cervigon Gutiérrez, Manuel; Guerrero Zapata, Manel; Muñoz Gracia, María del Pilar Abstract: E-learning environments, such as Moodle, provide a technology that fosters the improvement of the educational system in developed countries, where education is traditionally performed with relatively high standards of quality. A large number of case studies and research have been conducted to demonstrate how e-learning technologies can be applied to improve both training and learning processes. However, these technologies have not been proved efficient when applied to developing countries. The challenges that must be addressed in developing countries, both technological and societal, are much more complex and the possible solution margins are more constrained than those existing in the context where these technologies have been created. In this paper we show how Moodle can be used to improve the quality of education in developing countries and, even more important, how can be used to turn the educational system more sustainable and effective in the long-term. We describe our experience in implementing a programming course in Moodle for the Higher School of Informatics at the Université Polytechnique de Bobo-Dioulasso, in Burkina Faso (West Africa), joining efforts with local professors in designing and implementing the learning system. The case example has been designed having in mind a number of contextual problems: lack of lecturers, excessive teaching hours per lecturer, massive classes, and curricula organization and stability, among others. We finally discuss how the teaching effort is reduced, the students’ knowledge and capacity improves, and the institutional academic model can be guaranteed with the proposal. For this reason, we claim that information technologies in developing countries are a cost-effective way to guarantee the objectives originally defined in the academic curricula and, therefore, deal with the problem of the education. Wed, 22 May 2013 07:16:25 GMT http://hdl.handle.net/2117/19366 2013-05-22T07:16:25Z García Almiñana, Jordi; Somé, Michel; Ayguadé Parra, Eduard; Cabré Garcia, José M.; Casany Guerrero, María José; Frigola Bourlon, Manel; Galanis, Nikolaos; García-Cervigon Gutiérrez, Manuel; Guerrero Zapata, Manel; Muñoz Gracia, María del Pilar no Moodle, e-Learning, Education in developing countries, Programming course E-learning environments, such as Moodle, provide a technology that fosters the improvement of the educational system in developed countries, where education is traditionally performed with relatively high standards of quality. A large number of case studies and research have been conducted to demonstrate how e-learning technologies can be applied to improve both training and learning processes. However, these technologies have not been proved efficient when applied to developing countries. The challenges that must be addressed in developing countries, both technological and societal, are much more complex and the possible solution margins are more constrained than those existing in the context where these technologies have been created. In this paper we show how Moodle can be used to improve the quality of education in developing countries and, even more important, how can be used to turn the educational system more sustainable and effective in the long-term. We describe our experience in implementing a programming course in Moodle for the Higher School of Informatics at the Université Polytechnique de Bobo-Dioulasso, in Burkina Faso (West Africa), joining efforts with local professors in designing and implementing the learning system. The case example has been designed having in mind a number of contextual problems: lack of lecturers, excessive teaching hours per lecturer, massive classes, and curricula organization and stability, among others. We finally discuss how the teaching effort is reduced, the students’ knowledge and capacity improves, and the institutional academic model can be guaranteed with the proposal. For this reason, we claim that information technologies in developing countries are a cost-effective way to guarantee the objectives originally defined in the academic curricula and, therefore, deal with the problem of the education. http://hdl.handle.net/2117/19209 Title: ICT based estimation of time-dependent origin-destination matrices Authors: Barceló Bugeda, Jaime; Montero Mercadé, Lídia; Marqués, Laura; Carmona, Carlos Abstract: Time-Dependent Origin-Destination (OD) matrices are a key input to Dynamic Traffic Models, microscopic and mesoscopic traffic simulators are relevant examples of such models, traditionally used to assist in the design and evaluation of Traffic Management and Information Systems (ATMS/ATIS). Dynamic traffic models are also starting to be used to support real-time traffic management decisions. The typical approaches to the time-dependent OD estimation have been based either on ad hoc heuristics using mathematical programming approaches, or on Kalman-Filtering. The advent of the new Information and Communication Technologies (ICT), as for example Automatic Vehicle Location, License Plate Recognition, detection of mobile devices, Vehicle to Infrastructure (V2I) and so on, makes available new types of traffic data of higher quality and accuracy allowing for new modeling hypothesis leading to more computationally efficient algorithms. This paper extends the previous research on Kalman Filtering approaches for Freeway OD estimation using these data, to more complex topologies of urban networks were alternative path choices between origins and destinations are available. Ad hoc procedures based on Kalman Filtering have been designed and implemented successfully and the numerical results of the computational experiments are presented and discussed. Tue, 14 May 2013 12:53:43 GMT http://hdl.handle.net/2117/19209 2013-05-14T12:53:43Z Barceló Bugeda, Jaime; Montero Mercadé, Lídia; Marqués, Laura; Carmona, Carlos no Time-Dependent Origin-Destination (OD) matrices are a key input to Dynamic Traffic Models, microscopic and mesoscopic traffic simulators are relevant examples of such models, traditionally used to assist in the design and evaluation of Traffic Management and Information Systems (ATMS/ATIS). Dynamic traffic models are also starting to be used to support real-time traffic management decisions. The typical approaches to the time-dependent OD estimation have been based either on ad hoc heuristics using mathematical programming approaches, or on Kalman-Filtering. The advent of the new Information and Communication Technologies (ICT), as for example Automatic Vehicle Location, License Plate Recognition, detection of mobile devices, Vehicle to Infrastructure (V2I) and so on, makes available new types of traffic data of higher quality and accuracy allowing for new modeling hypothesis leading to more computationally efficient algorithms. This paper extends the previous research on Kalman Filtering approaches for Freeway OD estimation using these data, to more complex topologies of urban networks were alternative path choices between origins and destinations are available. Ad hoc procedures based on Kalman Filtering have been designed and implemented successfully and the numerical results of the computational experiments are presented and discussed. http://hdl.handle.net/2117/18691 Title: Optimal electricity market bidding strategies considering emission allowances Authors: Corchero García, Cristina; Heredia, F.-Javier (Francisco Javier); Cifuentes, Julián Abstract: There are many factors that influence the day-ahead market bidding strategies of a GenCo in the current energy market framework. In this work we study the influence of both the allowances and emission reduction plan and the in- corporation of the derivatives medium-term commitments in the optimal generation bidding strategy to the day-ahead electricity market. Two different technologies have been considered: the coal thermal units, high-emission technology, and the combined cycle gas turbine units, low-emission technology. The operational characteristics of both kinds of units are modeled in detail. We deal with this problem in the framework of the Iberian Electricity Market and the Spanish National Emissions and Allocation Plans. The economic implications for a GenCo of including the environmental restrictions of these National Plans are analyzed Mon, 08 Apr 2013 10:54:18 GMT http://hdl.handle.net/2117/18691 2013-04-08T10:54:18Z Corchero García, Cristina; Heredia, F.-Javier (Francisco Javier); Cifuentes, Julián no There are many factors that influence the day-ahead market bidding strategies of a GenCo in the current energy market framework. In this work we study the influence of both the allowances and emission reduction plan and the in- corporation of the derivatives medium-term commitments in the optimal generation bidding strategy to the day-ahead electricity market. Two different technologies have been considered: the coal thermal units, high-emission technology, and the combined cycle gas turbine units, low-emission technology. The operational characteristics of both kinds of units are modeled in detail. We deal with this problem in the framework of the Iberian Electricity Market and the Spanish National Emissions and Allocation Plans. The economic implications for a GenCo of including the environmental restrictions of these National Plans are analyzed http://hdl.handle.net/2117/18478 Title: Semantic clustering based on ontologies: an application to the study of visitors in a natural reserve Authors: Batet, Montserrat; Valls, Aïda; Gibert Oliveras, Karina Abstract: The development of large ontologies for general and specific domains provides new tools to improve the quality of data mining techniques such as clustering. In this paper we explain how to improve clustering results by exploiting the semantics of categorical data by means of ontologies and how this semantics can be included into a hierarchical clustering method. We want to prove that when the conceptual meaning of the values is taken into account, it is possible to find a better interpretation of the clusters. This is demonstrated with the analysis of real data collected from visitors to of a Natural Reserve. The results of our methodology are compared with the ones obtained with a classical multivariate analysis done in the same database. Fri, 22 Mar 2013 10:41:44 GMT http://hdl.handle.net/2117/18478 2013-03-22T10:41:44Z Batet, Montserrat; Valls, Aïda; Gibert Oliveras, Karina no The development of large ontologies for general and specific domains provides new tools to improve the quality of data mining techniques such as clustering. In this paper we explain how to improve clustering results by exploiting the semantics of categorical data by means of ontologies and how this semantics can be included into a hierarchical clustering method. We want to prove that when the conceptual meaning of the values is taken into account, it is possible to find a better interpretation of the clusters. This is demonstrated with the analysis of real data collected from visitors to of a Natural Reserve. The results of our methodology are compared with the ones obtained with a classical multivariate analysis done in the same database. http://hdl.handle.net/2117/18469 Title: Integrating bus stop modeling and simulation in public transport network design: a survey Authors: Codina Sancho, Esteve; Fonseca Casas, Pau; Colls, Màxim; Montero Mercadé, Lídia Abstract: In this paper a survey of public transportation network design and assignment models is presented with the purpose to analyze the level of detail that is considered regarding aspects such as congestion and interaction between bus lines and passengers at stops. After briefly reviewing the route design models in which these aspects are taken into account, a review of transit assignment models and frequency setting models is made in which these factors are considered. Simulation approaches oriented to the evaluation of complex configurations of bus stops used as evaluation tools for the design and planning of bus lines are also described. Because of its relevance, special attention is paid to the so called Advanced Public Transportation Systems. Fri, 22 Mar 2013 09:55:28 GMT http://hdl.handle.net/2117/18469 2013-03-22T09:55:28Z Codina Sancho, Esteve; Fonseca Casas, Pau; Colls, Màxim; Montero Mercadé, Lídia no In this paper a survey of public transportation network design and assignment models is presented with the purpose to analyze the level of detail that is considered regarding aspects such as congestion and interaction between bus lines and passengers at stops. After briefly reviewing the route design models in which these aspects are taken into account, a review of transit assignment models and frequency setting models is made in which these factors are considered. Simulation approaches oriented to the evaluation of complex configurations of bus stops used as evaluation tools for the design and planning of bus lines are also described. Because of its relevance, special attention is paid to the so called Advanced Public Transportation Systems. http://hdl.handle.net/2117/18422 Title: Assessment of incident management strategies using aimsun Authors: Barceló Bugeda, Jaime; Ferrer, J.; Montero Mercadé, Lídia; Perarnau, Josep Abstract: PRIME (Prediction of Congestion and Incidents in Real Time, for Intelligent Incident Management and Emergency Traffic Management) is a project of the 5ht Framework Program of the European Union which objectives are to develop: methods for estimating incident probability in real-time, which can activate traffic management strategies to reduce the likelihood of incidents, improved systems and algorithms for detecting incidents, an improved integration of incident verification to increase the reliability of incident management, and the integration of aspects of motorway and urban-network incident management strategies to increase the effectiveness of incident and traffic management strategies in urban / interurban areas. This paper deals with the use of microscopic simulation to assess the potential impacts of the incident management strategies. A methodological scheme on how to use simulation to achieve these objectives is presented and the experimental plan for the test site in Barcelona is described and the preliminary testing results are presented. Tue, 19 Mar 2013 17:50:18 GMT http://hdl.handle.net/2117/18422 2013-03-19T17:50:18Z Barceló Bugeda, Jaime; Ferrer, J.; Montero Mercadé, Lídia; Perarnau, Josep no PRIME (Prediction of Congestion and Incidents in Real Time, for Intelligent Incident Management and Emergency Traffic Management) is a project of the 5ht Framework Program of the European Union which objectives are to develop: methods for estimating incident probability in real-time, which can activate traffic management strategies to reduce the likelihood of incidents, improved systems and algorithms for detecting incidents, an improved integration of incident verification to increase the reliability of incident management, and the integration of aspects of motorway and urban-network incident management strategies to increase the effectiveness of incident and traffic management strategies in urban / interurban areas. This paper deals with the use of microscopic simulation to assess the potential impacts of the incident management strategies. A methodological scheme on how to use simulation to achieve these objectives is presented and the experimental plan for the test site in Barcelona is described and the preliminary testing results are presented. http://hdl.handle.net/2117/18369 Title: Optimal sizing of microgrids: a fast charging station case Authors: Corchero García, Cristina; Cruz Zambrano, Miguel; Heredia, F.-Javier (Francisco Javier); Cairo Molins, Josep Ignasi; Igualada Gonzalez, Lucia; Romero Ortega, Aitor Abstract: In this work we focus on the optimal design of electric vehicle charging stations. We consider investment, operational costs, physical constraints and different electricity pricing strategies. The size of the various components in the microgrid architecture and the suitability of the storage system are analysed. The electric vehicle charging demand is modelled through a queuing system. Mon, 18 Mar 2013 13:03:39 GMT http://hdl.handle.net/2117/18369 2013-03-18T13:03:39Z Corchero García, Cristina; Cruz Zambrano, Miguel; Heredia, F.-Javier (Francisco Javier); Cairo Molins, Josep Ignasi; Igualada Gonzalez, Lucia; Romero Ortega, Aitor no charging station, electric vehicle, energy storage system, microgrid components optimal size, queuing system In this work we focus on the optimal design of electric vehicle charging stations. We consider investment, operational costs, physical constraints and different electricity pricing strategies. The size of the various components in the microgrid architecture and the suitability of the storage system are analysed. The electric vehicle charging demand is modelled through a queuing system. http://hdl.handle.net/2117/18028 Title: Application to the proximal point algorithm to the general traffic assignment problem Authors: Codina Sancho, Esteve; Montero Mercadé, Lídia Abstract: An adaptation of the proximal algorithm for the traffic assignment problem under a user equilibrium formulation for a general asymmetric traffic network is presented in this paper, following the recently published results of Pennanen regarding convergence under nonmonotonicity. As is well known the problem can be formulated as a variational inequality and the algorithmic solutions developed uptodate guarantee convergence only under too restrictive conditions which are difficult to appear in practice. In this paper new conditions guaranteing convergence are developed and the possibility of including the algorithm on a bilevel scheme is discussed Fri, 01 Mar 2013 10:25:37 GMT http://hdl.handle.net/2117/18028 2013-03-01T10:25:37Z Codina Sancho, Esteve; Montero Mercadé, Lídia no An adaptation of the proximal algorithm for the traffic assignment problem under a user equilibrium formulation for a general asymmetric traffic network is presented in this paper, following the recently published results of Pennanen regarding convergence under nonmonotonicity. As is well known the problem can be formulated as a variational inequality and the algorithmic solutions developed uptodate guarantee convergence only under too restrictive conditions which are difficult to appear in practice. In this paper new conditions guaranteing convergence are developed and the possibility of including the algorithm on a bilevel scheme is discussed http://hdl.handle.net/2117/18018 Title: Building optisim, optimizador NZEB Authors: Fonseca Casas, Pau; Colls, Màxim; Casanovas Garcia, Josep; Fonseca Casas, Antoni; Garrido Soriano, Núria Abstract: La simulación de la demanda energética de un edificio es una tarea compleja debido principalmente a dos factores clave. En primer lugar, es necesario definir la física y las complejas relaciones entre todos los elementos que pertenecen al modelo. En segundo lugar, es necesario entender estas relaciones por un equipo que normalmente está compuesto por personal con experiencia y formación diferente. En este trabajo, proponemos el uso de un lenguaje formal para representar el comportamiento dinámico de un modelo que representa todo el ciclo de vida de un edificio (diseño, construcción, uso‐mantenimiento y deconstrucción), y técnicas de co‐simulación para combinar motores de simulación diferentes y obtener lo mejor de cada uno. Se presenta un modelo de sostenibilidad, Building OptiSim, de tal manera que permite obtener una solución óptima. El edificio que utilizamos para realizar la simulación es la construcción LOW 3, proyecto presentado en el concurso Solar Decathlon 2010, por la ETSAV (UPC). Thu, 28 Feb 2013 11:46:56 GMT http://hdl.handle.net/2117/18018 2013-02-28T11:46:56Z Fonseca Casas, Pau; Colls, Màxim; Casanovas Garcia, Josep; Fonseca Casas, Antoni; Garrido Soriano, Núria no La simulación de la demanda energética de un edificio es una tarea compleja debido principalmente a dos factores clave. En primer lugar, es necesario definir la física y las complejas relaciones entre todos los elementos que pertenecen al modelo. En segundo lugar, es necesario entender estas relaciones por un equipo que normalmente está compuesto por personal con experiencia y formación diferente. En este trabajo, proponemos el uso de un lenguaje formal para representar el comportamiento dinámico de un modelo que representa todo el ciclo de vida de un edificio (diseño, construcción, uso‐mantenimiento y deconstrucción), y técnicas de co‐simulación para combinar motores de simulación diferentes y obtener lo mejor de cada uno. Se presenta un modelo de sostenibilidad, Building OptiSim, de tal manera que permite obtener una solución óptima. El edificio que utilizamos para realizar la simulación es la construcción LOW 3, proyecto presentado en el concurso Solar Decathlon 2010, por la ETSAV (UPC). http://hdl.handle.net/2117/17774 Title: Nonlinear network flows with side constraints applied to short term hydrothermal coordination of electricity generation Authors: Heredia, F.-Javier (Francisco Javier); Nabona Francisco, Narcís Thu, 14 Feb 2013 18:09:53 GMT http://hdl.handle.net/2117/17774 2013-02-14T18:09:53Z Heredia, F.-Javier (Francisco Javier); Nabona Francisco, Narcís no http://hdl.handle.net/2117/17745 Title: A Kalman-filter approach for dynamic OD estimation in corridors based on bluetooth and wifi data collection Authors: Barceló Bugeda, Jaime; Montero Mercadé, Lídia; Marquès, Laura; Carmona, Carlos Abstract: From the point of view of the information supplied by an ATIS to the motorists entering a freeway of one of the most relevant is the Forecasted Travel Time, that is the expected travel time that they will experience when traverse a freeway segment. From the point of view of ATMS, the dynamic estimates of time dependencies in OD matrices is a major input to dynamic traffic models used for estimating the current traffic state and forecasting its short term evolution. Travel Time Forecasting and Dynamic OD Estimation are thus two key components of ATIS/ATMS and the quality of the results that they could provide depend not only on the quality of the models but also on the accuracy and reliability of the measurements of traffic variables supplied by the detection technology. The quality and reliability of the measurements produced by traditional technologies, as inductive loop detectors, is not usually the required by real-time applications, therefore one wonders what could be expected from the new ICT technologies, as for example Automatic Vehicle Location, License Plate Recognition, detection of mobile devices and so on. A simulation experiment is proposed prior to deploy the technology for a pilot project. The simulation emulates the logging and time stamping of a sample of equipped vehicles providing real-time estimates of travel times for the whole population of vehicles and OD pattern of the equipped vehicles are considered real-time estimates of the dynamic OD pattern for the whole population of vehicles. The main objective of this paper is to explore the quality of the data produced by the Bluetooth and Wi-Fi detection of mobile devices equipping vehicles to estimate time dependent OD matrices. Ad hoc procedures based on Kalman Filtering have been designed and implemented successfully and the numerical results of the computational experiments are presented and discussed. Wed, 13 Feb 2013 19:04:34 GMT http://hdl.handle.net/2117/17745 2013-02-13T19:04:34Z Barceló Bugeda, Jaime; Montero Mercadé, Lídia; Marquès, Laura; Carmona, Carlos no From the point of view of the information supplied by an ATIS to the motorists entering a freeway of one of the most relevant is the Forecasted Travel Time, that is the expected travel time that they will experience when traverse a freeway segment. From the point of view of ATMS, the dynamic estimates of time dependencies in OD matrices is a major input to dynamic traffic models used for estimating the current traffic state and forecasting its short term evolution. Travel Time Forecasting and Dynamic OD Estimation are thus two key components of ATIS/ATMS and the quality of the results that they could provide depend not only on the quality of the models but also on the accuracy and reliability of the measurements of traffic variables supplied by the detection technology. The quality and reliability of the measurements produced by traditional technologies, as inductive loop detectors, is not usually the required by real-time applications, therefore one wonders what could be expected from the new ICT technologies, as for example Automatic Vehicle Location, License Plate Recognition, detection of mobile devices and so on. A simulation experiment is proposed prior to deploy the technology for a pilot project. The simulation emulates the logging and time stamping of a sample of equipped vehicles providing real-time estimates of travel times for the whole population of vehicles and OD pattern of the equipped vehicles are considered real-time estimates of the dynamic OD pattern for the whole population of vehicles. The main objective of this paper is to explore the quality of the data produced by the Bluetooth and Wi-Fi detection of mobile devices equipping vehicles to estimate time dependent OD matrices. Ad hoc procedures based on Kalman Filtering have been designed and implemented successfully and the numerical results of the computational experiments are presented and discussed. http://hdl.handle.net/2117/17744 Title: Exploring the use of traffic data collected from new ICT based sensors to estimate time dependent OD matrices Authors: Marquès, Laura; Montero Mercadé, Lídia; Carmona, Carlos; Barceló Bugeda, Jaime Wed, 13 Feb 2013 18:42:15 GMT http://hdl.handle.net/2117/17744 2013-02-13T18:42:15Z Marquès, Laura; Montero Mercadé, Lídia; Carmona, Carlos; Barceló Bugeda, Jaime no http://hdl.handle.net/2117/17741 Title: Dynamic OD matrix estimation exploiting bluetooth data in urban networkss Authors: Barceló Bugeda, Jaime; Montero Mercadé, Lídia; Bullejos, Manuel; Serch, Oriol; Carmona, Carlos Abstract: Time-Dependent Origin-Destination (OD) matrices are a key input to Dynamic Traffic Models. Microscopic and Mesoscopic traffic simulators are relevant examples of such models, traditionally used to assist in the design and evaluation of Traffic Management and Information Systems (ATMS/ATIS). Dynamic traffic models can also be used to support real-time traffic management decisions. The typical approaches to time-dependent OD estimation have been based either on Kalman-Filtering or on bi-level mathematical programming approaches that can be considered in most cases as ad hoc heuristics. The advent of the new Information and Communication Technologies (ICT) makes available new types of traffic data with higher quality and accuracy, allowing new modeling hypotheses which lead to more computationally efficient algorithms. This paper presents a Kalman Filtering approach, that explicitly exploit traffic data available from Bluetooth sensors, and reports computational experiments for networks and corridors. Wed, 13 Feb 2013 18:07:10 GMT http://hdl.handle.net/2117/17741 2013-02-13T18:07:10Z Barceló Bugeda, Jaime; Montero Mercadé, Lídia; Bullejos, Manuel; Serch, Oriol; Carmona, Carlos no Dynamic OD Matrix, Kalman Filter, Advanced Traffic Management, Data Collection. Time-Dependent Origin-Destination (OD) matrices are a key input to Dynamic Traffic Models. Microscopic and Mesoscopic traffic simulators are relevant examples of such models, traditionally used to assist in the design and evaluation of Traffic Management and Information Systems (ATMS/ATIS). Dynamic traffic models can also be used to support real-time traffic management decisions. The typical approaches to time-dependent OD estimation have been based either on Kalman-Filtering or on bi-level mathematical programming approaches that can be considered in most cases as ad hoc heuristics. The advent of the new Information and Communication Technologies (ICT) makes available new types of traffic data with higher quality and accuracy, allowing new modeling hypotheses which lead to more computationally efficient algorithms. This paper presents a Kalman Filtering approach, that explicitly exploit traffic data available from Bluetooth sensors, and reports computational experiments for networks and corridors. http://hdl.handle.net/2117/17738 Title: A use of information and communication technologies in the framework of advanced management of transportation systems: dynamic OD matrix estimation Authors: Montero Mercadé, Lídia; Barceló Bugeda, Jaime; Bullejos, Manuel Abstract: Origin-Destination (OD) trip matrices are the primary data input used in principal traffic and transit models, which describe the patterns of trips/passengers across the area of study. In this way, OD matrices become a critical requirement in Advanced Transport Management and/or Information Systems that are supported by Dynamic Assignment models. In the future, once combined dynamic traffic and transit assignment tools will be available to practitioners, the problem of estimating the time-dependent number of trips/passengers between transportation zones would be a critical aspect for real applications. However, because OD matrices are not directly observable, the current practice consists of adjusting an initial or seed matrix from link/segment counts which are provided by an existing layout of traffic counting stations or data gathering in the field (detection layout) for non-dynamic models. The typical approaches to time-dependent OD estimation have been based either on Kalman-Filtering or on bi-level mathematical programming approaches that can be considered in most cases as ad hoc heuristics. The advent of the new Information and Communication Technologies (ICT) makes available new types of real-time traffic and passenger data with higher quality and accuracy, allowing new modeling hypotheses which lead to more computationally efficient algorithms. This paper presents a Kalman Filtering approach that explicitly exploits data available from Bluetooth sensors to simplify an underlying space-state model, and describes the validation of the proposal through a set of simulation experiments, either on networks or corridors. Those involve car data provided by the detection of the electronic signature of on-board devices. Finally, an extension of the framework to the estimation of passenger matrices is addressed when data from passenger’s electronic signature devices are available. Wed, 13 Feb 2013 17:42:17 GMT http://hdl.handle.net/2117/17738 2013-02-13T17:42:17Z Montero Mercadé, Lídia; Barceló Bugeda, Jaime; Bullejos, Manuel no Luz/8/febre/2013: Information Systems, Advanced Traffic Management, Dynamic OD matrix, linear Kalman-filtering, spacestate models Origin-Destination (OD) trip matrices are the primary data input used in principal traffic and transit models, which describe the patterns of trips/passengers across the area of study. In this way, OD matrices become a critical requirement in Advanced Transport Management and/or Information Systems that are supported by Dynamic Assignment models. In the future, once combined dynamic traffic and transit assignment tools will be available to practitioners, the problem of estimating the time-dependent number of trips/passengers between transportation zones would be a critical aspect for real applications. However, because OD matrices are not directly observable, the current practice consists of adjusting an initial or seed matrix from link/segment counts which are provided by an existing layout of traffic counting stations or data gathering in the field (detection layout) for non-dynamic models. The typical approaches to time-dependent OD estimation have been based either on Kalman-Filtering or on bi-level mathematical programming approaches that can be considered in most cases as ad hoc heuristics. The advent of the new Information and Communication Technologies (ICT) makes available new types of real-time traffic and passenger data with higher quality and accuracy, allowing new modeling hypotheses which lead to more computationally efficient algorithms. This paper presents a Kalman Filtering approach that explicitly exploits data available from Bluetooth sensors to simplify an underlying space-state model, and describes the validation of the proposal through a set of simulation experiments, either on networks or corridors. Those involve car data provided by the detection of the electronic signature of on-board devices. Finally, an extension of the framework to the estimation of passenger matrices is addressed when data from passenger’s electronic signature devices are available. http://hdl.handle.net/2117/17737 Title: Adapting a dynamic OD matrix estimation approach for private traffic based on bluetooth data to passenger OD matrices Authors: Montero Mercadé, Lídia; Barceló Bugeda, Jaime; Codina Sancho, Esteve Abstract: The primary data input used in principal traffic models comes from Origin-Destination (OD) trip matrices, which describe the patterns of commuters across the network. In this way, OD matrices become a critical requirement in Advanced Transport Control and Management and/or Information Systems that are supported by Dynamic Traffic Assignment models (DTA models). Dynamic Transit Assignment models are a research topic, but once a dynamic transit assignment be available to practitioners, the problem of estimating the time-dependent number of trips between transportation zones shall be a critical aspect for real applications. However, OD matrices are not directly observable, neither for private nor public transport, and the current practice consists on adjusting an initial or seed matrix from link/segment counts which are provided by counting stations or data gathering in the field (detection layout). The emerging Information and Communication Technologies, especially those based on the detection of the electronic signature of on-board devices provide a rich source of data that can be used in space-state models for dynamic matrix estimation. We present a linear Kalman filter approach that makes use of counts of passengers and travel times provided by Bluetooth devices to simplify an underlying space-state model. The formulation for dynamic passenger OD matrix estimation proposed was originally developed for auto trip matrices, but in this paper, we explore the possibility of adapting the approach to the estimation of OD matrices in public transport networks. Wed, 13 Feb 2013 17:28:22 GMT http://hdl.handle.net/2117/17737 2013-02-13T17:28:22Z Montero Mercadé, Lídia; Barceló Bugeda, Jaime; Codina Sancho, Esteve no Luz/febrer/2012: Applied Science, Information Systems, Advanced Traffic Management, Kalman Filtering The primary data input used in principal traffic models comes from Origin-Destination (OD) trip matrices, which describe the patterns of commuters across the network. In this way, OD matrices become a critical requirement in Advanced Transport Control and Management and/or Information Systems that are supported by Dynamic Traffic Assignment models (DTA models). Dynamic Transit Assignment models are a research topic, but once a dynamic transit assignment be available to practitioners, the problem of estimating the time-dependent number of trips between transportation zones shall be a critical aspect for real applications. However, OD matrices are not directly observable, neither for private nor public transport, and the current practice consists on adjusting an initial or seed matrix from link/segment counts which are provided by counting stations or data gathering in the field (detection layout). The emerging Information and Communication Technologies, especially those based on the detection of the electronic signature of on-board devices provide a rich source of data that can be used in space-state models for dynamic matrix estimation. We present a linear Kalman filter approach that makes use of counts of passengers and travel times provided by Bluetooth devices to simplify an underlying space-state model. The formulation for dynamic passenger OD matrix estimation proposed was originally developed for auto trip matrices, but in this paper, we explore the possibility of adapting the approach to the estimation of OD matrices in public transport networks.