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  • Kalman-Filtering formulation details for Dynamic OD passenger matrix estimation

     Montero Mercade, Lidia; Codina Sancho, Esteve; Barcelo Bugeda, Jaime
    International Conference on Applied Operational Research
    p. 82-90
    Presentation's date: 2014-07-31
    Presentation of work at congresses

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    In this paper, we describe how to estimate time-sliced origin-destination (OD) matrices for passengers in a public transport network based on counts of ICT (Intelligent Communication Technology) devices carried by passengers at equipped transit-stops. The transit assignment framework is based on optimal strategy, which determines the subset of paths related to the optimal strategies between all OD pairs for the whole horizon of study. Details are provided on how to build the involved equations in a linear Kalman filtering model formulation, which is defined by the authors for a toy network that is proposed to validate the approach.

  • A Mesoscopic Traffic Simulation Based Dynamic Traffic Assignment  Open access

     Linares Herreros, Maria Paz
    Universitat Politècnica de Catalunya
    Theses

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    En los últimos tiempos, el problema del tráfico urbano ha situado a las áreas metropolitanas en una difícil situación en cuanto a sostenibilidad se refiere (en términos de la congestión, los accidentes y la contaminación). Este problema se ha visto acentuado por la creciente movilidad promovida por el aumento del uso del vehículo privado. Además, debido a que la mayor parte del tráfico es canalizada a través de los modos de carretera, el tiempo perdido por los usuarios al realizar sus viajes tiene un importante efecto económico sobre las ciudades.En este contexto, la planificación de transporte se vuelve relevante a través del desarrollo de nuevas estrategias y políticas para conseguir un transporte urbano sostenible. Los modelos matemáticos son de gran ayuda ya que enriquecen las decisiones de los gestores de tráfico en el proceso de planificación. En particular podemos considerar los modelos de tráfico para la predicción, como por ejemplo los modelos de asignación dinámica de tráfico (ADT), los cuales proveen de una representación temporal coherente de las interacciones entre elecciones de tráfico, flujos de tráfico y medidas de tiempo y coste. Esta tesis se centra en los modelos ADT.Durante las últimas décadas, los modelos ADT han sido intensamente estudiados. Este proceso se ha acelerado particularmente en los últimos veinte años debido a la aparición de los Sistemas Inteligentes de Transporte. El objetivo de esta investigación es estudiar y analizar diferentes posibilidades de mejorar la resolución del problema.En un contexto operacional, el objetivo de los modelos ADT es representar la evolución de la red urbana cuando las condiciones de tráfico cambian. Estos modelos tratan de describir la asignación de la demanda en los diferentes caminos que conectan los pares OD siguiendo un estado de equilibrio. En este caso se ha considerado que el comportamiento de los conductores en cada una de sus decisiones individuales tomadas durante el viaje es una generalización dependiente del tiempo del Primer Principio de Wardrop, denominada Equilibrio Dinámico de Usuario (EDU). El presente trabajo toma como punto de partida el modelo de inecuaciones variacionales continuo en el tiempo propuesto por Friesz (1993) para resolver el problema del EDU. Por un lado, se encuentran los denominados enfoques analíticos que utilizan técnicas matemáticas de optimización para resolver el problema directamente. Por otro lado, están los modelos cuyas formulaciones están basadas en simulación que aproximan soluciones heurísticas con un coste computacional razonable. Puesto que son éstas últimas las que se muestran más prometedoras a la práctica, en esta tesis se ha elegido este enfoque para tratar el problema ADT.En los últimos tiempos, el campo de los modelos ADT basados en simulación ha sido de especial interés. Nuestra formulación basada en simulación consiste en un proceso iterativo que consta de dos componentes principales: ¿ Un método para determinar los nuevos flujos (dependientes del tiempo) en los caminos utilizando los tiempos de viaje experimentados en esos caminos en la iteración previa.¿ Un procedimiento de carga dinámica de la red (CDR) que determine cómo esos flujos se propagan a través de sus correspondientes caminos.Además, nuestro modelo ADT basado en simulación requiere de una componente de CDR que pueda reproducir diferentes clases de vehículos, controles semafóricos y cambios de carril. Así, uno de los objetivos de esta tesis es desarrollar un nuevo modelo de simulación de tráfico con dichas características (multiclase y multicarril), teniendo en cuenta que será una de las componentes principales del marco ADT propuesto.Finalmente, el modelo ADT basado en simulación mesoscópica es validado en consecuencia. Los resultados obtenidos a partir de las experiencias computacionales realizadas demuestran el buen comportamiento de los métodos desarrollados.

    In terms of sustainability, traffic is currently a significant challenge for urban areas, where the pollution, congestion and accidents are negative externalities which have strongly impacted the health and economy of cities. The increasing use of private vehicles has further exacerbated these problems. In this context, the development of new strategies and policies for sustainable urban transport has made transport planning more relevant than ever before. Mathematical models have helped greatly in identifying solutions, as well as in enriching the process of making decisions and planning. In particular, dynamic network models provide a means for representing dynamic traffic behavior; in other words, they provide a temporally coherent means for measuring the interactions between travel decisions, traffic flows, travel time and travel cost. This thesis focuses on dynamic traffic assignment (DTA) models. DTA has been studied extensively for decades, but much more so in the last twenty years since the emergence of Intelligent Transport Systems (ITS). The objective of this research is to study and analyze the prospects for improving this problem. In an operational context, the objective of DTA models is to represent the evolution of traffic on a road network as conditions change. They seek to describe the assignment of the demand on different paths which connect every OD pair in a state of equilibrium. The behaviour following each individual decision during a trip is a time-dependent generalization of Wardrop's First Principle, the Dynamic User Equilibrium (DUE). This hypothesis is based on the following idea: When current travel times are equal and minimal for vehicles that depart within the same time interval , the dynamic traffic flow through the network is in a DUE state based on travel times for each OD pair at each instant of time ([ran-1996]). This work begins with the time-continuous variational inequalities model proposed by [friesz-1993] for solving the DUE problem. Different solutions can be used on the proposed DUE formulation. On the one hand, there are the so-called analytical approaches which use known mathematical optimization techniques for solving the problem directly. On the other hand, there are simulation-based formulations that approximate heuristic solutions at a reasonable computational cost. While analytical models concentrate mainly on deriving theoretical insights, simulation-based models focus on trying to build practical models for deployment in real networks. Thus, because the simulation-based formulation holds the most promise, we work on that approach in this thesis. In the field of simulation-based DTA models, significant progress has been made by many researchers in recent decades. Our simulation-based formulation separates the proposed iterative process into two main components: - A method for determining the new time dependent path flows by using the travel times on these paths experienced in the previous iteration. - A dynamic network loading (DNL) method, which determines how these paths flow propagate along the corresponding paths. However, it is important to note that not all computer implementations based on this algorithmic framework provide solutions that obtain DUE. Therefore, while we analyze both proposals in this thesis we focus on the preventive methods of flow reassignment because only those can guarantee DUE solutions. Our proposed simulation-based DTA method requires a DNL component that can reproduce different vehicle classes, traffic light controls and lane changes. Therefore, this thesis develops a new multilane multiclass mesoscopic simulation model with these characteristics, which is embedded into the proposed DUE framework. Finally, the developed mesoscopic simulation-based DTA approach is validated accordingly. The results obtained from the computational experiments demonstrate that the developed methods perform well.

    En los últimos tiempos, el problema del tráfi co urbano ha situado a las áreas metropolitanas en una difícil situación en cuanto a sostenibilidad se refi ere (en términos de la congestión, los accidentes y la contaminación). Este problema se ha visto acentuado por la creciente movilidad promovida por el aumento del uso del vehículo privado. Además, debido a que la mayor parte del trá fico es canalizada a través de los modos de carretera, el tiempo perdido por los usuarios al realizar sus viajes tiene un importante efecto económico sobre las ciudades. En este contexto, la plani cación de transporte se vuelve relevante a través del desarrollo de nuevas estrategias y políticas para conseguir un transporte urbano sostenible. Los modelos matemáticos son de gran ayuda ya que enriquecen las decisiones de los gestores de trá fico en el proceso de plani ficación. En particular podemos considerar los modelos de trá fico para la predicción, como por ejemplo los modelos de asignación dinámica de tráfi co (ADT), los cuales proveen de una representación temporal coherente de las interacciones entre elecciones de trá fico, fl ujos de trá fico y medidas de tiempo y coste. Esta tesis se centra en los modelos ADT. Durante las últimas décadas, los modelos ADT han sido intensamente estudiados. Este proceso se ha acelerado particularmente en los últimos veinte años debido a la aparición de los Sistemas Inteligentes de Transporte. El objetivo de esta investigación es estudiar y analizar diferentes posibilidades de mejorar la resolución del problema. En un contexto operacional, el objetivo de los modelos ADT es representar la evolución de la red urbana cuando las condiciones de trá fico cambian. Estos modelos tratan de describir la asignación de la demanda en los diferentes caminos que conectan los pares OD siguiendo un estado de equilibrio. En este caso se ha considerado que el comportamiento de los conductores en cada una de sus decisiones individuales tomadas durante el viaje es una generalización dependiente del tiempo del Primer Principio de Wardrop, denominada Equilibrio Dinámico de Usuario (EDU). Esta hipótesis se basa en la siguiente idea: para cada par OD para cada instante de tiempo, si los tiempos de viaje de todos los usuarios que han partido en ese intervalo de tiempo son iguales y mínimos, entonces el ujo dinámico de trá fico en la red se encuentra en un estado de EDU basado en los tiempos de viaje (Ran and Boyce (1996)). El presente trabajo toma como punto de partida el modelo de inecuaciones variacionales continuo en el tiempo propuesto por Friesz et al. (1993) para resolver el problema de equilibrio dinámico de usuario. Por un lado, se encuentran los denominados enfoques analíticos que utilizan técnicas matemáticas de optimización para resolver el problema directamente. Por otro lado, están los modelos cuyas formulaciones están basadas en simulación que aproximan soluciones heurísticas con un coste computacional razonable. Mientras que modelos analíticos se concentran principalmente en demostrar las propiedades teóricas, los modelos basados en simulación se centran en intentar construir modelos que sean prácticos para su utilización en redes reales. Así pues, debido a que las formulaciones basadas en simulación son las que se muestran más prometedoras a la práctica, en esta tesis se ha elegido este enfoque para tratar el problema ADT. En los últimos tiempos, el campo de los modelos ADT basados en simulación ha sido de especial interés. Nuestra formulación basada en simulación consiste en un proceso iterativo que consta de dos componentes principales, sistematizadas por Florian et al. (2001) como sigue: Un método para determinar los nuevos ujos (dependientes del tiempo) en los caminos utilizando los tiempos de viaje experimentados en esos caminos en la iteración previa. Un procedimiento de carga dinámica de la red (CDR) que determine cómo esos fl ujos se propagan a través de sus correspondientes caminos. Los algoritmos de reasignación de flujo pueden ser agrupados en dos categorías: preventivos y reactivos. Es importante notar aquí que no todas las implementaciones computacionales basadas en el marco algorítmico propuesto proporcionan una solución EDU. Por lo tanto, aunque en esta tesis analizamos ambas propuestas, nos centraremos en los métodos preventivos de reasignación de flujo porque son los que nos garantizan alcanzar la hipótesis considerada (EDU). Además, nuestro modelo ADT basado en simulación requiere de una componente de CDR que pueda reproducir diferentes clases de vehículos, controles semafóricos y cambios de carril. Así, uno de los objetivos de esta tesis es desarrollar un nuevo modelo de simulación de trá fico con dichas características (multiclase y multicarril), teniendo en cuenta que será una de las componentes principales del marco ADT propuesto.

  • Modelització i Processament de la Informació (MPI)

     Casanovas Garcia, Jose; Olive Ramon, Antoni; Sancho Samsó, Maria Ribera; Aluja Banet, Tomas; Barcelo Bugeda, Jaime; Urpi Tubella, Antoni; Abello Gamazo, Alberto; Gómez Seoane, Cristina; Romero Moral, Oscar; Raventós Pagès, Ruth; Farré Tost, Carles; Codina Sancho, Esteve; Montero Mercade, Lidia; Guasch Petit, Antonio; Fonseca Casas, Pau; Estañol Lamarca, Montserrat; Oriol Hilari, Xavier; Teniente Lopez, Ernest
    Competitive project

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  • Mencio FIB

     Barcelo Bugeda, Jaime
    Award or recognition

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  • Modelos y Métodos de Programación Matemática y sus aplicaciones (OPTIMOS3)

     Linares Herreros, Maria Paz; Araoz Durand, Julian Arturo; Albareda Sambola, Maria; Barcelo Bugeda, Jaime; Luna Mota, Carlos; Fernandez Areizaga, Elena
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    Robustness and computational efficiency of a Kalman Filter estimator of time-dependent origin-destination matrices: exploiting ICT traffic measurements from information and communications technologies  Open access

     Barcelo Bugeda, Jaime; Montero Mercade, Lidia; Bullejos González, Manuel Antonio; Linares Herreros, Maria Paz; Serch Muni, Oriol
    Transportation Research Board Annual Meeting
    p. 31-39
    DOI: 10.3141/2344-04
    Presentation's date: 2013-01
    Presentation of work at congresses

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    Origin¿destination (O-D) trip matrices that describe the patterns of traffic behavior across a network are the primary data input used in principal traffic models and, therefore, a critical requirement in all advanced systems supported by dynamic traffic assignment models. However, because O-D matrices are not directly observable, the current practice consists of adjusting an initial or seed matrix from link flow counts that are provided by an existing layout of traffic-counting stations. The availability of new traffic measurements provided by information and communication technologies (ICT) allows more efficient algorithms, namely for real-time estimation of O-D matrices that are based on modified Kalman filtering approaches to exploit the new data. The quality of the estimations depends on various factors such as the penetration of the ICT devices, the detection layout, and the quality of the initial information. The feasibility of real-time applications depends on the computational performance of the proposed algorithms for urban networks of sensitive size. This paper presents the results of a set of computational experiments with a microscopic simulation of the network of Barcelona¿s central business district that explore the sensitivity of the Kalman filter estimates in relation to design factor values.

    Origin–destination (O-D) trip matrices that describe the patterns of traffic behavior across a network are the primary data input used in principal traffic models and, therefore, a critical requirement in all advanced systems supported by dynamic traffic assignment models. However, because O-D matrices are not directly observable, the current practice consists of adjusting an initial or seed matrix from link flow counts that are provided by an existing layout of traffic-counting stations. The availability of new traffic measurements provided by information and communication technologies (ICT) allows more efficient algorithms, namely for real-time estimation of O-D matrices that are based on modified Kalman filtering approaches to exploit the new data. The quality of the estimations depends on various factors such as the penetration of the ICT devices, the detection layout, and the quality of the initial information. The feasibility of real-time applications depends on the computational performance of the proposed algorithms for urban networks of sensitive size. This paper presents the results of a set of computational experiments with a microscopic simulation of the network of Barcelona’s central business district that explore the sensitivity of the Kalman filter estimates in relation to design factor values.

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  • Making real-time fleet management decisions under time dependent conditions in urban freight distribution

     Barcelo Bugeda, Jaime; Orozco Leyva, Jesús Arturo; Grzybowska, Hanna
    Date of publication: 2013
    Book chapter

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  • Comparison of path flow reassignment methods for dynamic user equilibrium traffic assignment based in mesosimulation

     Linares Herreros, Maria Paz; Barcelo Bugeda, Jaime
    European Symposium on Quantitative Methods in Transportation Systems
    Presentation's date: 2012-09
    Presentation of work at congresses

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  • A use of information and communication technologies in the framework of advanced management of transportation systems: dynamic OD matrix estimation

     Montero Mercade, Lidia; Barcelo Bugeda, Jaime; Bullejos González, Manuel Antonio
    International Conference on Management and Service Science
    p. 1-4
    Presentation's date: 2012-08-11
    Presentation of work at congresses

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  • Adapting a dynamic OD matrix estimation approach for private traffic based on bluetooth data to passenger OD matrices

     Montero Mercade, Lidia; Barcelo Bugeda, Jaime; Codina Sancho, Esteve
    International Conference on Engineering and Applied Science
    p. 41-49
    Presentation's date: 2012-07-25
    Presentation of work at congresses

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  • Combination of vehicle routing models and dynamic traffic simulation for city logistics applications  Open access

     Grzybowska, Hanna
    Department of Statistics and Operations Research, Universitat Politècnica de Catalunya
    Theses

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    The urban network is a highly dynamic system. Thus, a modern and efficient fleet management in urban areas should account for dynamics of traffic conditions, variability in travel times, changes in demand and fleet availability. All these factors significantly affect the distribution of goods and the provision of services. As a consequence, the freight operations optimizing approaches should be based on the time-dependent travel time estimates rather than on the average static values commonly employed as input data. Proficient dynamic fleet management decisions need to take into consideration all the factors conditioning the addressed problem. Hence, the customers’ requests and service conditions (demands, time windows, etc.), operational conditions of the employed fleet (vehicles’ availability, status, positions, current occupancy of the carriage space, etc.) and traffic conditions need to be reckoned with. This information can be provided in the real-time fashion and at an affordable price by the ICT applications and tools such as: ATIS, GPS, GPRS or other. Instead of relying exclusively on the experience of a dispatcher, it is effective to base the freight management decisions on information provided by a professional Decision Support System facilitating the consideration of all the factors conditioning the addressed issue. The objective of the present thesis is to propose, implement and computationally test, on the basis of a simulation, the architecture of a Decision Support System for real-time freight management able of accounting for all the dynamic factors mentioned above. Its design is based on integration of a selected pickup and delivery vehicle routing model and dynamic traffic simulation models, whose purpose is to carefully emulate the evolving traffic conditions. The optimal dynamic routing and scheduling of a vehicle fleet is obtained due to dynamic modifications of the current routing and scheduling plan on the basis of the recently revealed information conditioning the addressed problem. The obtained results of computational experiments show that the performance of freight fleet strongly depends on the traffic information used to create the routing and scheduling plan. Due to the special character of transport operations performed in metropolitan areas it is possible that not all the scheduled customers would be served, although a feasible initial solution is created on the basis of the historical travel times’ data. Hence, there is a need to implement real-time rerouting strategies allowing modifications of the original routes in order to feasibly fulfil the routing tasks. In addition, the tighter the constraints specifying the customers’ time windows and the higher the number of dynamically appearing requests, the higher the cost of the performance and the level of utilization of the freight fleet.

    La red urbana es un sistema altamente dinámico. Por lo tanto, la gestión moderna y eficiente de la flota en las zonas urbanas debe tener en cuenta la dinámica de las condiciones del tráfico, la variabilidad en los tiempos de viaje y los cambios en la disponibilidad de la demanda y de la flota, ya que afectan de manera significativa en la distribución de bienes y la prestación de servicios. Como consecuencia, los enfoques para optimizar las operaciones de carga deben basarse en las estimaciones de los tiempos de viaje dependientes del tiempo y no en los valores medios estáticos comúnmente empleados como datos de entrada. Las decisiones competentes de gestión dinámica de las flotas necesitan tener en cuenta todos los factores que condicionan el problema abordado. Por lo tanto, hay que considerar las características de las peticiones y las condiciones de servicio de los clientes (demanda, ventanas de tiempo, etc.), las condiciones operacionales de la flota empleada (disponibilidad de los vehículos, estatus, ubicación, ocupación actual del espacio de transporte, etc.) y las condiciones de tráfico. Esta información puede ser proporcionada en tiempo real a un precio asequible por las aplicaciones de las TIC y herramientas tales como: ATIS, GPS, GPRS u otros. En lugar de confiar exclusivamente en la experiencia de un distribuidor, también sería correcto basar las decisiones de gestión de transporte de mercancías en la información proporcionada por un sistema profesional de apoyo a la toma de decisiones que facilita la consideración de todos los factores que condicionan el problema abordado. El objetivo de esta tesis es proponer, implementar y validar computacionalmente en base a la simulación, la arquitectura de un Sistema de Apoyo a la Toma de Decisiones para la gestión de transporte de mercancías en tiempo real capaz de considerar todos los factores dinámicos previamente mencionados. Su diseño se basa en la integración de un modelo seleccionado de rutas de vehículos con recogida y entrega y modelos de simulación de tráfico dinámicos cuyo propósito es emular detalladamente las condiciones de tráfico que cambian con el paso del tiempo. Las rutas y los horarios dinámicos óptimos para una flota de vehículos que transporta mercancías se obtienen de las modificaciones dinámicas de un plan actual de rutas y horarios en base a la nueva información recibida que condiciona el problema abordado. Los resultados obtenidos de los experimentos computacionales demuestran que el rendimiento de la flota de transporte de mercancías depende en gran medida de la información de tráfico utilizada para crear el plan de rutas y los horarios. Debido al carácter especial de las operaciones de transporte realizadas en las áreas metropolitanas, a pesar de una solución inicial factible que se crea sobre la base de los datos históricos de los tiempos de viaje, es posible que no todos los clientes sean servidos. Por lo tanto, hay una necesidad de implementar estrategias de cambios de rutas en tiempo real, que permiten modificar las rutas originales con el fin de cumplir las tareas de enrutamiento viables. Además, más estrictas son las limitaciones que especifican las ventanas del tiempo de los clientes y más alto es el número de solicitudes de servicio que aparecen de forma dinámica, mayor será el coste final de las prestaciones del servicio y el nivel de utilización de la flota de transporte de mercancías.

  • Dynamic tracking and rerouting strategies for real-time fleet management with traffic information

     Orozco, A.; Barcelo Bugeda, Jaime
    International Workshop on Freight Transportation and Logistics
    p. 360-363
    Presentation's date: 2012-05
    Presentation of work at congresses

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    Dynamic OD matrix estimation exploiting bluetooth data in urban networkss  Open access

     Barcelo Bugeda, Jaime; Montero Mercade, Lidia; Bullejos González, Manuel Antonio; Serch Muni, Oriol; Carmona, Carlos
    International Conference on Automatic Control, Modelling & Simulation
    p. 116-121
    Presentation's date: 2012-04-03
    Presentation of work at congresses

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    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.

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    Projection and Fukushima's gap based methods for the asymmetric traffic assignment problem  Open access

     Codina Sancho, Esteve; Ibañez, G.; Barcelo Bugeda, Jaime
    Date: 2012
    Report

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    Report de recerca DR 2012/2 The research reported in this paper has been funded by projects SIMETRIA (Ref. P 63/08, 27.11.2008), of the Spanish R+D National Programs and project TRA2008-06782-C02-02.

  • Decision support system for real-time urban freight management

     Grzybowska, Hanna; Barcelo Bugeda, Jaime
    International Conference on City Logistics
    p. 712-725
    DOI: 10.1016/j.sbspro.2012.03.142
    Presentation's date: 2012
    Presentation of work at congresses

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  • Reactive and proactive routing strategies with real-time traffic Information

     Orozco, Jesús-Arturo; Barcelo Bugeda, Jaime
    International Conference on City Logistics
    p. 633-648
    DOI: 10.1016/j.sbspro.2012.03.136
    Presentation's date: 2012
    Presentation of work at congresses

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  • On the optimal length of the transit network with traffic performance microsimulation: application to Barcelona

     Estrada Romeu, Miguel Angel; Robuste Anton, Francesc; Amat, Jordi; Badia Rodriguez, Hugo; Barcelo Bugeda, Jaime
    Transportation Research Board Annual Meeting
    p. 1-15
    Presentation's date: 2012-01-25
    Presentation of work at congresses

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    This paper examines the design of high performance transit network that minimizes the transit agency costs, the time of transit users in the system and the travel time of car users. Surface transit services need segregated lanes to achieve a target cruising speed, so that the transit network length has a significant impact on the traffic performance. This effect has been modeled in this paper by the Macroscopic Fundamental Diagram (MFD). The optimization process encompasses two different approaches. First, an analytic model defines the optimal layout of surface transit networks according to the time headway, stop spacing, line spacing and network size variables. Then, the average travel time of the traffic network is evaluated by the use of the MFD curve corresponding to the former transit network length. The full methodology has been implemented in the city of Barcelona. The calibration of MFD in its central district has been done by means of traffic microsimulation runs. The social optimum number of corridors is 15, somewhat smaller than the optimization which does not consider traffic (23).

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    A Kalman filter approach for the estimation of time dependent OD matrices exploiting bluetooth traffic data collection  Open access

     Barcelo Bugeda, Jaime; Montero Mercade, Lidia; Bullejos González, Manuel Antonio; Serch Muni, Oriol; Carmona, Carlos
    Transportation Research Board Annual Meeting
    p. 1-16
    DOI: /trid.trb.org/view.aspx?id=1130522
    Presentation's date: 2012
    Presentation of work at congresses

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    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 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), makes available new types of traffic data of higher quality and accuracy allowing for new modeling hypothesis leading to more computationally efficient algorithms. Ad hoc procedures based on Kalman Filtering, explicitly exploiting traffic data available from Bluetooth sensors, have been designed and implemented successfully and the numerical results of the computational experiments are discussed for freeway and network test sites.

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    The detection layout problem  Open access

     Barcelo Bugeda, Jaime; Gilliéron, Fanny; Linares Herreros, Maria Paz; Serch Muni, Oriol; Montero Mercade, Lidia
    Transportation Research Board Annual Meeting
    p. 1-18
    DOI: /trid.trb.org/view/2012/C/1129600
    Presentation's date: 2012
    Presentation of work at congresses

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    The main traffic models, either for planning or operational purposes, use as major data input Origin-Destination (OD) trip matrices describing the patterns of traffic behavior across the network. OD matrices become in this way a critical requirement of Advanced Traffic Management or Information Systems supported by Dynamic Traffic Assignment models. However, as far as OD matrices are not directly observable, the current practice consist of adjusting an initial or seed matrix from link flow counts provided by an existing layout of traffic counting stations. The adequacy of the detection layout strongly determines the quality of the adjusted OD. Usual approaches to the Detection Layout problem assume that detectors are located at network links but some of the Information and Communication Technologies specially those based on the detection of the electronic signature of on board devices, as for example Bluetooth devices, allow the location of sensor at intersections. This paper proposes a reformulation of the link detection layout problem adapting the classical set covering approaches with side constraints and solving it efficiently by a tabu search metaheuristic. For the intersection layout covering problem a reformulation is proposed in terms of a node covering problem with side constraints that for practical purposes can be efficiently solved with standard professional solvers.

  • Dynamic origin-destination trip matrices estimation in urban networks based on a Kalman filtering approach and new ICT sensor data

     Montero Mercade, Lidia; Barcelo Bugeda, Jaime
    International Conference on Operational Research
    p. 73
    Presentation's date: 2011-07-14
    Presentation of work at congresses

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  • A Microscopic Traffic Simulation Based Decision Support System for Real-Time Fleet Management

     Orozco Leyva, Jesús Arturo
    Department of Statistics and Operations Research, Universitat Politècnica de Catalunya
    Theses

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  • MITRA (TRA2009-14270)

     Barcelo Bugeda, Jaime
    Competitive project

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  • In4Mo (TSI-020100-2010-690)

     Montero Mercade, Lidia; Barcelo Bugeda, Jaime
    Competitive project

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  • ICT based estimation of time-dependent origin-destination matrices

     Barcelo Bugeda, Jaime; Montero Mercade, Lidia; Marqués, Laura; Carmona, Carlos
    Transportation Research Board Annual Meeting
    p. 1-17
    Presentation's date: 2011-01-27
    Presentation of work at congresses

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  • A Kalman-filter approach for dynamic OD estimation in corridors based on bluetooth and wifi data collection

     Barcelo Bugeda, Jaime; Montero Mercade, Lidia; Marquès, Laura; Carmona, Carlos
    World Conference on Transport Research
    Presentation's date: 2010-07
    Presentation of work at congresses

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  • An optimization modelling and algorithmic framework for real-time estimation of dynamic origin-destination trip

     Montero Mercade, Lidia; Barcelo Bugeda, Jaime; Marquès, Laura; Carmona, Carlos
    International Conference on Continuous Optimization
    Presentation's date: 2010-07-27
    Presentation of work at congresses

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  • Access to the full text
    Exploring the use of traffic data collected from new ICT based sensors to estimate time dependent OD matrices  Open access

     Marquès, Laura; Montero Mercade, Lidia; Carmona, Carlos; Barcelo Bugeda, Jaime
    Triennial Symposium on Transportation Analysis
    p. 65-69
    Presentation's date: 2010-06
    Presentation of work at congresses

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    Postprint (author’s final draft)

  • Modelos dinámicos de tráfico para la gestión integral de corredores

     Soriguera Marti, Francesc; Barcelo Bugeda, Jaime
    Competitive project

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  • Traffic data collection and its standardization

    DOI: 10.1007/978-1-4419-6070-2_1
    Date of publication: 2010
    Book

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  • Fundamentals of traffic simulation

    DOI: 10.1016/j.tranpol.2009.12.001
    Date of publication: 2010
    Book

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  • Travel time forecasting and dynamic of estimation in freeways based on bluetooth traffic monitoring

     Barcelo Bugeda, Jaime; Montero Mercade, Lidia; Marqués, Laura
    Transportation Research Board Annual Meeting
    Presentation's date: 2010-01
    Presentation of work at congresses

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  • Fleet rerouting strategies with real-time traffic information

     Barcelo Bugeda, Jaime; Orozco, J.A.
    World Conference on Transport Research
    Presentation's date: 2010
    Presentation of work at congresses

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  • Travel time forecasting and dynamic OD estimation in freeways based on bluetooth traffic monitoring

     Barcelo Bugeda, Jaime; Montero Mercade, Lidia; Marques Padreny, Laura
    Transportation Research Board Annual Meeting
    DOI: 10.3141/2175-03
    Presentation's date: 2010-01
    Presentation of work at congresses

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  • Traffic data collection and its standardization

     Barcelo Bugeda, Jaime; Kuwahara, Masao; Miska, Marc
    International Workshop on Traffic Data Collection & its Standardization
    p. 1-10
    DOI: 10.1007/978-1-4419-6070-2_1
    Presentation's date: 2010
    Presentation of work at congresses

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  • Decision support system to assist the design and evaluation of city logistics applications with real-time traffic information

     Barcelo Bugeda, Jaime; Orozco, Arturo
    Transportation Research Board Annual Meeting
    Presentation's date: 2010-01
    Presentation of work at congresses

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  • Models, traffic models, simulation, and traffic simulation

     Barcelo Bugeda, Jaime
    DOI: 10.1016/j.tranpol.2009.12.001
    Date of publication: 2010
    Book chapter

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  • Traffic data collection and its standardization

     Barcelo Bugeda, Jaime; Kuwahara, Masao; Miska, Marc
    DOI: 10.1007/978-1-4419-6070-2_1
    Date of publication: 2010
    Book chapter

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  • SIMETRIA ¿ Modelos de simulación para la evaluación de escenarios multimodales de transportes globales y regionales

     Barcelo Bugeda, Jaime; Robuste Anton, Francesc; Campos Cacheda, Jose Magin; Thorson Bofarull, Leif; Montero Mercade, Lidia; Codina Sancho, Esteve
    Competitive project

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  • Microscopic simulation assessment of emissions based traffic management strategies

     Barcelo Bugeda, Jaime
    World Congress on Intelligent Transport Systems
    Presentation's date: 2009-09
    Presentation of work at congresses

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  • Real-time traffic information and time-dependent travel times in a simulation based decision support system for city logistics applications

     Barcelo Bugeda, Jaime; Orozco, Arturo; Grzybowska, Hanna
    International Workshop on Freight Transportation and Logistics
    Presentation's date: 2009-05
    Presentation of work at congresses

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  • Tecnologías innovadoras de información al viajero para el fomento de la movilidad urbana sostenible. MOBITRANS

     Muñoz Gracia, Maria del Pilar; Barcelo Bugeda, Jaime; Montero Mercade, Lidia
    Competitive project

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  • A simulation based decision support system for city logistics applications

     Barcelo Bugeda, Jaime; Grzybowska, Hanna; Orozco, Arturo
    World Congress on Intelligent Transport Systems
    Presentation's date: 2008-11
    Presentation of work at congresses

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  • Mesoscopic simulator data to perform dynamic origin-destination matrices estimation in urban context

     Bert, E; Chung, E.; Barcelo Bugeda, Jaime; Dumont, A-G
    International Symposium on Transport Simulation
    Presentation's date: 2008-08
    Presentation of work at congresses

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  • Monitoring data quality for traffic simulation and its applications

     Barcelo Bugeda, Jaime; Kirschfink, H.
    Traffic Simulation Workshop
    Presentation's date: 2008-07
    Presentation of work at congresses

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  • Optimization of road traffic counts location in a network

     Gilliéron, Fanny; Barcelo Bugeda, Jaime
    European ITS Conference
    Presentation's date: 2008-06
    Presentation of work at congresses

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  • Applications of Discrete Event Simulation to Health Services Research

     Comas Serrano, Merce
    Department of Statistics and Operations Research, Universitat Politècnica de Catalunya
    Theses

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  • A SIMULATION BASED DECISION SUPPORT SYSTEM FOR CITY LOGISTICS APPLICATIONS

     Barcelo Bugeda, Jaime
    A SIMULATION BASED DECISION SUPPORT SYSTEM FOR CITY LOGISTICS APPLICATIONS
    Presentation's date: 2007-11-04
    Presentation of work at congresses

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  • AN ON-LINE APPROACH BASED ON MICROSCOPIC TRAFFIC SIMULATION TO ASSIST REAL TIME TRAFFIC MANAGEMENT

     Barcelo Bugeda, Jaime
    World Congress on Intelligent Transport Systems
    Presentation's date: 2007-10-09
    Presentation of work at congresses

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