Relevant bibliographies by topics / Timetable planning

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  2. Dissertations / Theses
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Academic literature on the topic 'Timetable planning'

Author: Grafiati
Published: 28 June 2021
Last updated: 7 February 2022

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Journal articles on the topic "Timetable planning"

1

Palmqvist, Carl-William, Nils O. E. Olsson, and Lena Winslott Hiselius. "The Planners’ Perspective on Train Timetable Errors in Sweden." Journal of Advanced Transportation 2018 (2018): 1–17. http://dx.doi.org/10.1155/2018/8502819.

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Timetables are important for train punctuality. However, relatively little attention has been paid to the people who plan the timetables: the research has instead been more centred on how to improve timetables through simulation, optimisation, and data analysis techniques. In this study, we present an overview of the state of practice and the state of the art in timetable planning by studying the research literature and railway management documents from several European countries. We have also conducted interviews with timetable planners in Southern Sweden, focusing on how timetable planning relates to punctuality problems. An important backdrop for this is a large project currently underway at the Swedish Transport Administration, modernizing the timetable planning tools and processes. This study is intended to help establish a baseline for the future evaluation of this modernization by documenting the current process and issues, as well as some of the research that has influenced the development and specifications of the new tools and processes. Based on the interviews, we found that errors in timetables commonly lead to infeasible timetables, which necessitate intervention by traffic control, and to delays occurring, increasing, and spreading. We found that the timetable planners struggle to create a timetable and that they have neither the time nor the tools required to ensure that the timetable maintains a high quality and level of robustness. The errors we identified are (a) crossing train paths at stations, (b) wrong track allocation of trains at stations, especially for long trains, (c) insufficient dwell and meet times at stations, and (d) insufficient headways leading to delays spreading. We have identified eleven reasons for these errors and found three themes among these reasons: (1) “missing tools and support,” (2) “role conflict,” and (3) “single-loop learning.” As the new tools and processes are rolled out, the situation is expected to improve with regard to the first of these themes. The second theme of role conflict occurs when planners must strive to meet the demands of the train operating companies, while they must also be unbiased and create a timetable that has a high overall quality. While this role conflict will remain in the future, the new tools can perhaps help address the third theme by elevating the planners from first- to double-loop learning and thereby allowing them to focus on quality control and on finding better rules and heuristics. Over time, this will lead to improved timetable robustness and train punctuality.
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Walter, Stefan, and Martin Fellendorf. "Long-Term Upgrade Strategy for Light Rail and Regional Rail." Transportation Research Record: Journal of the Transportation Research Board 2534, no. 1 (January 2015): 38–47. http://dx.doi.org/10.3141/2534-06.

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Suburban light rail transit (LRT) and regional rail systems face similar challenges when it comes to upgrade perspectives. A particular planning process is required for upgrade measures apart from conventional alignment modifications. This study investigated the similarities between LRT and regional rail characteristics and developed a robust decision framework that linked demand modeling, timetable construction, and infrastructure design in an integrated approach. The study applied a three-stage planning process for a regional railway system in a midsized Austrian city. A multimodal travel demand model that included demographic changes over the next 2 decades was used. Travel demand was calculated with the current timetable and forecasted changes in regional planning. Within a sensitivity analysis, the impact of alternative timetables on modal shift was checked. A detailed analysis of these results was undertaken to optimize the best-ranked timetable model. Different infrastructure measures such as electrification, double-track sections, road grade crossings, station layout, and alignment changes were identified to match the optimal target timetable with fixed hub-to-hub travel times. Various stakeholders were involved in deciding the political objectives of modal shares, transit headways, and regional rail infrastructure. A well-defined planning process with fixed milestones led to a common agreement on a stepwise upgrade plan for the next 25 years. The proposed method can be applied to regional rail as well as LRT.
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Wu, Yinghui, Yifan Zhu, and Tianyu Cao. "Mathematical Analysis and an Exact Solution Combined with Preprocessing Method for Resynchronizing of Bus Timetable Problem." Mathematical Problems in Engineering 2018 (September 23, 2018): 1–10. http://dx.doi.org/10.1155/2018/7832638.

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Bus timetabling is a subproblem of bus network planning, and it determines departure time of each trip of lines to make vehicles from different lines synchronously arrive at transfer stations. Due to the well-designed coordination of bus timetables, passengers can make a smooth transfer without waiting a long time for connecting buses. This paper addresses the planning level of resynchronizing of bus timetable problem allowing modifications to initial timetable. Timetable modifications consist of shifts in the departure times and headways. A single-objective mixed-integer programming model is proposed for this problem to maximize the number of total transferring passengers benefiting from smooth transfers. We analyze the mathematical properties of this model, and then a preprocessing method is designed to reduce the solution space of the proposed model. The numerical results show that the reduced model is effectively solved by branch and bound algorithm, and the preprocessing method has the potential to be applied for large-scale bus networks.
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Giannakopoulou, Kalliopi, Andreas Paraskevopoulos, and Christos Zaroliagis. "Multimodal Dynamic Journey-Planning." Algorithms 12, no. 10 (October 13, 2019): 213. http://dx.doi.org/10.3390/a12100213.

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In this paper, a new model, known as the multimodal dynamic timetable model (DTM), is presented for computing optimal multimodal journeys in schedule-based public transport systems. The new model constitutes an extension of the dynamic timetable model (DTM), which was developed originally for a different setting (unimodal journey-planning). Multimodal DTM demonstrates a very fast query algorithm that meets the requirement for real-time response to best journey queries, and an ultra-fast update algorithm for updating the timetable information in case of delays of scheduled-based vehicles. An experimental study on real-world metropolitan networks demonstrates that the query and update algorithms of Multimodal DTM compare favorably with other state-of-the-art approaches when public transport, including unrestricted—with respect to departing time—traveling (e.g., walking and electric vehicles) is considered.
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Deris, Safaai, Sigeru Omatu, and Hiroshi Ohta. "Timetable planning using the constraint-based reasoning." Computers & Operations Research 27, no. 9 (August 2000): 819–40. http://dx.doi.org/10.1016/s0305-0548(99)00051-9.

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DERIS, SAFAAI, SIGERU OMATU, HIROSHI OHTA, and PATHIAH ABD SAMAT. "Object-oriented constraint logic programming for timetable planning." International Journal of Systems Science 28, no. 10 (July 1997): 987–99. http://dx.doi.org/10.1080/00207729708929462.

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Gorbachev, A. M. "Mathematical model of aperiodic timetables of urban electric transport." Automation on Transport 6, no. 4 (December 2020): 499–517. http://dx.doi.org/10.20295/2412-9186-2020-6-4-499-517.

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The analysis of scientifi c publications and timetable models is given. Existing works have been used as a basis of a classification of timetables by the frequency of time values. The urban transport network is presented in the form of a multigraph. The transition from a multigraph of the urban transport network to a network of events characterizing the traffi c process is considered. Constraints on time values have been formalized to solve the main problem of the scheduling theory. The proposed formalization factors in the specifi cs of traffic management planning in Russia and other post-Soviet countries. A mathematical model of aperiodic timetables for the ground urban electric transport traffic based on the theory of linear programming is presented. The optimization criterion for solving the main problem of the scheduling theory has been substantiated. The uniformity of traffi c intervals is used as an optimization criterion for solving the main problem of the scheduling theory. The article provides tabular timetables used in urban transport to describe the traffi c process in the absence of significant events on the line. The implementation of the model presented in this article is exemplified by the automated tram and trolleybus timetable design software being part of the automated urban electric transport control system currently used in Saint Petersburg to form tram and trolleybus timetables. The examples of calculating the vehicle departure interval diagrams have been used to demonstrate the function of aligning the traffi c intervals. In conclusion, the advantages and development paths of the proposed model of aperiodic timetables for the ground urban electric transport traffic are listed
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Wang, Zeyu, Leishan Zhou, Bin Guo, Xing Chen, and Hanxiao Zhou. "An Efficient Hybrid Approach for Scheduling the Train Timetable for the Longer Distance High-Speed Railway." Sustainability 13, no. 5 (February 26, 2021): 2538. http://dx.doi.org/10.3390/su13052538.

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Compared with other modes of transportation, a high-speed railway has energy saving advantages; it is environmentally friendly, safe, and convenient for large capacity transportation between cities. With the expansion of the high-speed railway network, the operation of high-speed railways needs to be improved urgently. In this paper, a hybrid approach for quickly solving the timetable of high-speed railways, inspired by the periodic model and the aperiodic model, is proposed. A space–time decomposition method is proposed to convert the complex passenger travel demands into service plans and decompose the original problem into several sub-problems, to reduce the solving complexity. An integer programming model is proposed for the sub-problems, and then solved in parallel with CPLEX. After that, a local search algorithm is designed to combine the timetables of different periods, considering the safety operation constraints. The hybrid approach is tested on a real-world case study, based on the Beijing–Shanghai high-speed railway (HSR), and the results show that the train timetable calculated by the approach is superior to the real-world timetable in many indexes. The hybrid approach combines the advantages of the periodic model and the aperiodic model; it can deal with the travel demands of passengers well and the solving speed is fast. It provides the possibility for flexible adjustment of a timetable and timely response to the change of passenger travel demands, to avoid the waste of transportation resources and achieve sustainable development.
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Meng, Lingyun, Malik Muneeb Abid, Xinguo Jiang, Afaq Khattak, and Muhammad Babar Khan. "Increasing Robustness by Reallocating the Margins in the Timetable." Journal of Advanced Transportation 2019 (July 28, 2019): 1–15. http://dx.doi.org/10.1155/2019/1382394.

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It is a common practice to improve the punctuality of a railway service by the addition of time margins during the planning process of a timetable. Due to the capacity constraints of the railway network, a limited amount of time margins can be inserted. The paper presents a model and heuristic technique to find the better position for the limited amount of time margins (headway buffers and running time supplements) in a train timetable. The aim of reallocating the time margins is to adjust an existing timetable to minimize the sum of train delays at the event of the operational disturbances. The model consists of two basic parts. Firstly, the paper treats the train timetable as a Directed Arc Graph (DAG) with the aggregation concept and proposes a heuristic technique known as Critical Time Margins Allocation (CTMA), which is based on the critical path method (CPM), to reallocate the time margins. Secondly, the paper evaluates the original and modified timetable under different disturbed situations. The case study is developed on a hypothetical small railway network and a practical timetable of single-line train timetable for the track segment of Rawalpindi to Lalamusa, Pakistan. The results show that the timetable modified with the CTMA reduces the total delay time by an average of 3.25% for the small railway network and 5.18% for the large dataset. It suggests that adding the time supplements to the proper positions in a timetable can reduce the delay propagation and increase the robustness of the timetable.
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Dongmei LIN, and Jun LIU. "Research on Train Timetable-based Railway Route Planning Problem." INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences 4, no. 14 (August 15, 2012): 71–79. http://dx.doi.org/10.4156/aiss.vol4.issue14.9.

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Dissertations / Theses on the topic "Timetable planning"

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Kuchynka, Marek. "Informační systém pro plánování rozvrhů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2021. http://www.nusl.cz/ntk/nusl-445501.

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This work deals with the planning of teaching and exams schedules at the Faculty of Information Technology of the Brno University of Technology. The goal is to design and create a new web-based information system that will help to create new schedules and allow students to be involved in the planning process. The application will be tailored to the requirements of the faculty, whose detailed analysis forms the first part of this work. The second part deals in detail with the design, implementation and testing of the created application, which was already used in planning the actual schedules.
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André, Virginie. "Problème de livraison - collecte dans un environnement hospitalier : méthodes d'optimisation, modèle de simulation et couplages." Phd thesis, Université Blaise Pascal - Clermont-Ferrand II, 2011. http://tel.archives-ouvertes.fr/tel-00824815.

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La thèse porte sur la proposition de méthodes d'optimisation (modèles mathématiques et métaheuristique) et leur couplage avec un modèle de simulation pour la résolution de problèmes de livraison collecte incluant la planification des horaires des chauffeurs. L'originalité de ces travaux porte sur la diversité des ressources (véhicule, chauffeur, quai de chargement, de déchargement, contenant, ligne de production, aire de nettoyage) et des contraintes (incompatibilité véhicule/contenant, date de début au plus tôt, date de fin souhaitée, planning...) à prendre en compte. L'objectif est de proposer une organisation permettant de réaliser l'ensemble des transports tout en minimisant les retards et les heures supplémentaires. La première partie s'intéresse au transport d'un seul type de produit. Le problème est modélisé comme un RCPSP avec profil de demande en ressources variable. Les transports à vide sont modélisés comme des temps de montage dépendant de la séquence. Deux programmes linéaires en nombres entiers sont proposés. La seconde partie concerne le transport de plusieurs types de produit. Le problème présente une double complexité qui est résolue par le couplage d'une recherche locale itérée avec un modèle de simulation. Le modèle de simulation permet de répondre à la complexité structurelle et fonctionnelle, notamment en raison de la diversité des ressources. La troisième partie intègre la définition des horaires de travail des chauffeurs. Une approche itérative incluant un modèle de simulation, un programme linéaire en nombres entiers et le couplage précédemment présenté est proposée. Ce problème est traité dans un contexte hospitalier pour le transport de contenants propres ou sales (repas, linge, médicaments) entre sites de consommation et sites de production. Chaque partie fait l'objet d'une expérimentation avec des données réelles.
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Fingerle, Garrett Philip. "Engineering an extensible model for a public transport journey planning system." Thesis, University of Southampton, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342762.

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Brethomé, Lucile. "Modélisation et optimisation d’un plan de transport ferroviaire en zone dense du point de vue des voyageurs." Thesis, Ecole centrale de Lille, 2018. http://www.theses.fr/2018ECLI0014.

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La conception d’un plan de transport d’un service ferroviaire est un processus qui se réalise entre deux ans et six mois avant la mise en service de celui-ci. Les principales phases de la conception sont la définition des dessertes, le calcul de la grille horaire et enfin l’organisation des roulements de rames et des conducteurs. La manière dont le plan de transport est conçu peut avoir de nombreuses conséquences sur la qualité de service : fréquence en gare insuffisante qui peut entrainer une perte de clients, robustesse de la grille horaire face à de petits incidents... En zone dense, tous ces éléments sont à prendre en compte, dès la conception de la grille horaire.Aujourd’hui, SNCF Transilien conçoit ses plans de transport en prenant d’abord en compte l’optimisation des ressources de production (sillons, rames et agents de conduite). Toutefois, l’augmentation des ressources mises en œuvre n’améliore plus l’adéquation du plan de transport à la demande des voyageurs. Ce mode de conception ne permet donc plus de faire face à l’augmentation de la demande de mobilité. C’est pourquoi il faut repenser la conception du plan de transport en intégrant immédiatement la dimension voyageuse.Nos travaux se concentrent sur les problématiques de conception de dessertes et de grille horaire, en prenant en compte le point de vue des voyageurs. Nous présentons un modèle multiobjectif de conception de dessertes, puis nous présentons un modèle de conception de grille horaire intégrant le choix d’itinéraire des voyageurs. Ensuite, nous présentons une méthode cherchant à intégrer ces deux modèles. Enfin, nous présentons une évaluation de nos résultats grâce à des indicateurs de fiabilité
The design of a railway transportation plan is a process achieved between two years and six months before it is put into service. The main phases in the design of a transportation plan are the line planning, the timetabling, the rolling stock and the crew scheduling.The design of the transportation plan can have many consequences on the quality of service: an inadequate frequency in station can cause a loss of passengers, sufficient number of seated places, robustness of the timetable in the face of small incidents... In dense area, as in the Ile-de-France region, all these elements must be taken into account as the transportation plan is designed.Today, SNCF Transilien designs its transportation plans by first taking into account the optimization of production resources (train paths, rolling stock units and drivers). However, today, the increase in resources implemented no longer improves the adequacy of the transportation plan to passengers’ demand. This design method no longer makes it possible to cope with the increase in the demand for mobility (+3% each year since 2000). This is why we must rethink the design of the transport plan by immediately integrating the passenger dimension. Our work focuses on issues of line planning and timetabling in a passenger-oriented approach. First, we present a multi-objective model for line planning. Then, we present a model of timetabling incorporating passenger route choice. Then, we initiate a method to integrate these two models. Finally, we present an evaluation of our results thanks to reliability indicators from the literature and a macroscopic simulation of the timetables
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Eranki, Anitha. "A model to create bus timetables to attain maximum synchronization considering waiting times at transfer stops." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000225.

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Rodrigues, Raildo Barros. "Modelo de programação matemática na elaboração de quadros de horários para cursos de graduação." Universidade Estadual Paulista (UNESP), 2018. http://hdl.handle.net/11449/157117.

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Esta dissertação trata da construção de um modelo matemático para a elaboração do quadro de horários dos cursos de graduação do CBV/IFRR. A programação de horários é um problema de otimização combinatória estudado há anos pela Pesquisa Operacional e, em termos de complexidade computacional, é tido como NP-Completo, sendo assim, é um problema que exige grande capacidade de processamento. A elaboração do quadro de horários em qualquer instituição de ensino é complexa e demanda tempo para os responsáveis por essa atividade, pois as necessidades dos professores e alunos devem ser atendidas e devem-se evitar conflitos nos horários dos professores. A instituição estudada nesta dissertação assim como outras instituições, possui particularidades institucionais, dessa forma, uma formulação geral do problema acaba não lhe sendo útil. O CBV/IFRR realiza a elaboração dos horários de forma manual, por meio de planilha eletrônica e realização de reuniões entre os gestores, o que torna difícil encontrar uma solução factível. Sendo assim, foi necessária a realização de pesquisa científica para encontrar métodos que poderiam ser aplicados ao problema. Assim, este trabalho teve como objetivo desenvolver um modelo de Programação Matemática que permitisse a elaboração dos horários para cursos de graduação do CBV/IFRR. Utilizou-se entrevistas com as Coordenações de Cursos para obtenção das informações acerca do problema tratado, tais como restrições e prioridades a serem atendidas com a programação de aulas para professores. Estas informações serviram de base para a construção do modelo conceitual, que foi utilizado para elaboração do modelo matemático final, que foi implementado na linguagem de alto nível GAMS® e resolvido pelo solver CPLEX®. Os testes do modelo foram realizados otimizando uma instância com dados reais da instituição estudada. Os resultados obtidos da otimização foram satisfatórios, pois foi possível encontrar uma solução ótima para a instância em tempo computacional adequado, com todas as restrições, impostas pelas características peculiares do problema tratado, sendo respeitadas e as prioridades estabelecidas pelas Coordenações de Cursos atendidas.
This dissertation deals with the construction of a mathematical model for the elaboration of the timetable of the undergraduate courses of the CBV/IFRR. Time scheduling is a combinatorial optimization problem that has been studied for years by Operational Research and, in terms of computational complexity, is considered as NP-Complete, so it is a problem that requires large processing capacity. The elaboration of the timetable in any educational institution is complex and takes time for those responsible for this activity, because the needs of teachers and students must be met and avoid conflicts in the schedules of teachers. The institution studied in this dissertation as well as other institutions, has institutional features, so a general formulation of the problem ends up being of no use to it. The CBV/IFRR performs the elaboration of the schedules manually, through a spreadsheet and holding meetings between managers, which makes it difficult to find a feasible solution. Thus, it was necessary to carry out scientific research to find methods that could be applied to the problem. Thus, this work had the objective of developing a Mathematical Programming model that allowed the elaboration of the schedules for the undergraduate courses of the CBV/IFRR. We used interviews with the Course Coordinators to obtain information about the problem, such as constraints and priorities to be met with the programming of classes for teachers. This information was the basis for the construction of the conceptual model, which was used to elaborate the final mathematical model, which was implemented in the GAMS® high-level language and solved by the CPLEX® solver. The tests of the model were performed optimizing an instance with real data of the studied institution. The results obtained from the optimization were satisfactory, since it was possible to find an optimal solution for the instance in adequate computational time, with all the restrictions imposed by the peculiar characteristics of the problem, being respected and the priorities established by the Coordination of Courses attended.
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Sun, Kuo-Hua, and 孫國華. "Signaling Control and Timetable Planning for MRT Systems." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/14644256289451948201.

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碩士
國立中山大學
電機工程學系研究所
94
Automatic Train Control(ATC) of Signaling System for a Metro Systems comprise Automatic Train Supervision(ATS), Automatic Train Protection(ATP) and Automatic Train Operation(ATO). Based on theAutomatic Train Control(ATC) of Signaling System for a Metro Systems comprise Automatic Train Supervision(ATS), Automatic Train Protection(ATP) and Automatic Train Operation(ATO). Based on the Signaling Control System of Kaohsiung Mass Rapid Transit System(KMRT),the relationship of ATO propulsion power consumption and the run time between stations of train sets under the constraint of Automatic Train Protection(ATP) is investigated. By integrating the ATC function for the planning of timetable, the optimal timetable can be established. ATO solves the speed command for train sets operation by considering the propulsion system, track alignment and the operating timetable to achieve the efficiency of energy consumption by applying the operation modes of Cruising and Coasting to derive the speed profiles of train sets. Because of the correlationship of ATP, ATO and Operation Timetable of train sets, the ATP system is investigated first to ensure the safety of system operation. Based on the constraint of ATP, the energy conservation of train sets with ATO system is simulated. The optimal timetable is then derived by minimizing the objective function, which consists of the costs of train sets, driver’s manpower and the simulated energy consumption. The Genetic Algorithm (GA) is applied to solve the optimal timetable by representing the Run Time Reserve and Loading Factor of train sets as the chromosomes. With the mutation of GA method, the global optimal solution can be obtained without falling into the local optimum. It is concluded that the optimal operation timetable solved by the proposed GA method can enhance the system performance of KMRT systems by reducing the operation cost of train sets.
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Jyh-Hwang, Tseng, and 曾志煌. "An Integrated Model for Airline Fleet Routing and Timetable Planning." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/08518121653086686800.

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博士
國立中央大學
土木工程研究所
88
Fleet routing and flight scheduling are important in airline operations. In particular, they always affect the usage efficiency of facilities, the establishment of timetables and the crew scheduling. As a result, they are essential to carriers’ profitability, level of service and competitive capability in the market. Most of the airlines in Taiwan currently adopt a trial-and-error process for fleet routing and flight scheduling practices. They iterate the schedule construction and evaluation phases through manual operations. Such an approach is considerd to be less efficient when the flight network become larger, and can possibly result in an inferior feasible solution. Recently, there are research developing mathematic models and solution algorithms to solve the problem through the use of an indispensible medium called “draft timetable.” These mathematic approaches were anticipated to be comparatively more systematic and efficient than the traditional trial-and-error method. Nevertheless, not only “draft timetable” itself involves too much subjective judgement and decision in its constructing process, but also such approaches are incapable of directly and systematically managing the interrelationship between supply and demand. This research therefore developed an integrated model and a solution algorithm to help carriers simultaneously solve for better fleet routes and proper timetables. In order to directly manage the interrelationships between trip demand and flight supply, a time-space network technique was applied to modeling the movements of aircraft and passenger flows. Mathematically, the model was formulated as a special integer multiple commodity network flow problem which was categorized as an NP-hard problem. A Lagrangian relaxation-based algorithm was developed to efficiently solve the problem on the basis of Lagrangian relaxation, the sub-gradient method, the network simplex method, the least cost flow augmenting algorithm and the flow decomposition algorithm. To show how well the model and the solution algorithm could be applied in the real world, a case study regarding the domestic operations of a major Taiwan airline was performed by using the C computer language. The admirable outcome has shown the model’s good performance. Presumably, the results are practically helpful for airlines in Taiwan to improve their operations.
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Chen, Yu-Hsuan, and 陳宇軒. "An Integrated Model Combine Passengers and Freight for Airline Fleet Routing and Timetable Planning." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/67802085238342811033.

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碩士
國立中央大學
土木工程研究所
92
Fleet routing and flight scheduling are important in airline operations. They always affect the usage efficiency of facilities and crew scheduling. Furthermore, they are essential to carriers’ profitability, level of service and competitive capability in the market. Recently, besides passenger flights and cargo flights, some airlines introduced combi flights in their flight scheduling. The combi flights combine passengers and cargos in one flight and can supple passenger flights and cargo flights during a carrier’s regular operation. However, the carriers in Taiwan currently adopt a try-and-error method to determine the schedules of passenger flights, cargo flight and combi flights. The method starts by manually determining the passenger and combi flight schedules together. Based on the passenger and combi flight schedules and the projected cargo demand, the cargo flight schedule is then determined. Thereafter, the combi flight schedule is modified by considering the cargo flight schedule and the passenger flight schedule is revised in accordance with the combi flight schedule. The process is repeated until the final fleet routing and timetables are obtained. Since such a method without systemic analyses cannot effectively manage the interrelationship among the passenger, cargo and combi flight schedules, the performance of the obtained schedules would easily decrease as the system scale is enlarged. As a result, the operating performance could possibly be inferior. Therefore, given the operating data, including fleet size, airport flight quota and available time slots, related flight cost, on the basis of the carrier’s perspective, this research tries to develop a scheduling model by integrating passenger, cargo and combi flight schedules, with the objective of maximizing the operating profit, subject to the related operating constraints. The model is a useful planning tool for airlines to determine a suitable fleet routing and timetables in their short-term operations. We employ network flow techniques to construct the model, which include passenger-flow, cargo-flow and fleet-flow networks in order to formulate the flows of passengers, cargos and fleet in the dimensions of time and space. The model is formulated as an integer multiple commodity network flow problem that is characterized as an NP-hard problem. Since the real problem size is huge, this model is harder to solve than the conventional passenger flight scheduling problems in the past. A Lagrangian relaxation-based algorithm, coupled with a subgradient method, the network simplex method and a heuristic for upper bound solution, is suggested to solve the problem. Finally, to evaluate the model and the solution algorithm, we perform a case study by using the real operating data from a major Taiwan airline.
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Brethomé, Lucile Isabelle. "Modélisation et optimisation d’un plan de transport ferroviaire en zone dense du point de vue des voyageurs." Thesis, 2018. http://www.theses.fr/2018ECLI0014.

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La conception d’un plan de transport d’un service ferroviaire est un processus qui se réalise entre deux ans et six mois avant la mise en service de celui-ci. Les principales phases de la conception sont la définition des dessertes, le calcul de la grille horaire et enfin l’organisation des roulements de rames et des conducteurs. La manière dont le plan de transport est conçu peut avoir de nombreuses conséquences sur la qualité de service : fréquence en gare insuffisante qui peut entrainer une perte de clients, robustesse de la grille horaire face à de petits incidents... En zone dense, tous ces éléments sont à prendre en compte, dès la conception de la grille horaire.Aujourd’hui, SNCF Transilien conçoit ses plans de transport en prenant d’abord en compte l’optimisation des ressources de production (sillons, rames et agents de conduite). Toutefois, l’augmentation des ressources mises en œuvre n’améliore plus l’adéquation du plan de transport à la demande des voyageurs. Ce mode de conception ne permet donc plus de faire face à l’augmentation de la demande de mobilité. C’est pourquoi il faut repenser la conception du plan de transport en intégrant immédiatement la dimension voyageuse.Nos travaux se concentrent sur les problématiques de conception de dessertes et de grille horaire, en prenant en compte le point de vue des voyageurs. Nous présentons un modèle multiobjectif de conception de dessertes, puis nous présentons un modèle de conception de grille horaire intégrant le choix d’itinéraire des voyageurs. Ensuite, nous présentons une méthode cherchant à intégrer ces deux modèles. Enfin, nous présentons une évaluation de nos résultats grâce à des indicateurs de fiabilité
The design of a railway transportation plan is a process achieved between two years and six months before it is put into service. The main phases in the design of a transportation plan are the line planning, the timetabling, the rolling stock and the crew scheduling.The design of the transportation plan can have many consequences on the quality of service: an inadequate frequency in station can cause a loss of passengers, sufficient number of seated places, robustness of the timetable in the face of small incidents... In dense area, as in the Ile-de-France region, all these elements must be taken into account as the transportation plan is designed.Today, SNCF Transilien designs its transportation plans by first taking into account the optimization of production resources (train paths, rolling stock units and drivers). However, today, the increase in resources implemented no longer improves the adequacy of the transportation plan to passengers’ demand. This design method no longer makes it possible to cope with the increase in the demand for mobility (+3% each year since 2000). This is why we must rethink the design of the transport plan by immediately integrating the passenger dimension. Our work focuses on issues of line planning and timetabling in a passenger-oriented approach. First, we present a multi-objective model for line planning. Then, we present a model of timetabling incorporating passenger route choice. Then, we initiate a method to integrate these two models. Finally, we present an evaluation of our results thanks to reliability indicators from the literature and a macroscopic simulation of the timetables
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Books on the topic "Timetable planning"

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International Conference on Computer Aided Design, Manufacture, and Operation in the Railway and Other Advanced Mass Transit Systems, ed. Timetable planning and information quality. Southampton: WIT Press, 2010.

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Beck, Michael J. Hierarchische Planung eines symmetrischen Taktfahrplans im Schienenpersonenverkehr. Frankfurt am Main: P. Lang, 2007.

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Airline operations and delay management: Insights from airline economics, networks, and strategic schedule planning. Farnham, Surrey: Ashgate, 2010.

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Office, General Accounting. Tax systems modernization: Automated Underreporter project shows need for human resource planning : report to the Chairman, Commerce, Consumer, and Monetary Affairs Subcommittee, Committee on Government Operations, House of Representatives. Washington, D.C: The Office, 1994.

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Office, General Accounting. Tax systems modernization: IRS needs to resolve certain issues with its Integrated Case Processing System : report to the chairman, Subcommittee on Oversight, Committee on Ways and Means, House of Representatives. Washington, D.C: The Office, 1997.

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Office, General Accounting. Tax systems modernization: Results of review of IRS' initial expenditure plan : report to Congressional Requesters. Washington, D.C. (P.O. Box 37050, Washington, D.C. 20013): The Office, 1999.

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Office, General Accounting. Tax systems modernization: Management and technical weaknesses must be corrected if modernization is to succeed : report to the Commissioner of the Internal Revenue Service. Washington, D.C: The Office, 1995.

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Office, General Accounting. Tax systems modernization: Imaging system's performance improving but still falls short of expectations : report to the chairman, Subcommittee on Oversight, Committee on Ways and Means, House of Representatives. Washington, D.C: The Office, 1997.

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Office, General Accounting. Tax systems modernization: Cyberfile project was poorly planned and managed. Washington, D.C: The Office, 1996.

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Office, General Accounting. Tax systems modernization: Results of review of IRS' initial expenditure plan : report to congressional requesters. Washington, D.C. (P.O. Box 37050, Washington, D.C. 20013): The Office, 1999.

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Book chapters on the topic "Timetable planning"

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McDonald, Christine. "Planning a timetable." In English Language Project Work, 3–9. London: Macmillan Education UK, 1992. http://dx.doi.org/10.1007/978-1-349-22297-1_2.

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Parra, E. "Timetable Planning in a Courier Network: A Heuristic Resolution Method." In Lecture Notes in Management and Industrial Engineering, 195–202. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93488-4_22.

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Olsder, Geert Jan, and Antoine F. Kort. "Discrete Events: Timetables, Capacity Questions, and Planning Issues for Railway Systems." In Modeling, Control and Optimization of Complex Systems, 237–60. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-1139-7_10.

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"Timetable Development." In Public Transit Planning and Operation, 99–128. CRC Press, 2016. http://dx.doi.org/10.1201/b18689-9.

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"Timetable Development." In Public Transit Planning and Operation, 99–136. CRC Press, 2007. http://dx.doi.org/10.1201/b12853-10.

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Buchmueller, S., U. Weidmann, and A. Nash. "Development of a dwell time calculation model for timetable planning." In Vorticity and Turbulence Effects in Fluid Structure Interactions, 105–14. WIT Press, 2010. http://dx.doi.org/10.2495/978-1-84564-500-7/10.

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Böhm, Thomas, Christoph Lackhove, and Michael Meyer zu Hörste. "Integrated Traffic Management using Data from Traffic, Asset Conditions, Energy and Emissions." In Advances in Civil and Industrial Engineering, 405–19. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-5225-0084-1.ch017.

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The traffic management is the core of the railway operations control technology. It receives the timetable information as a target definition and advises the command control and signaling systems to execute the rail traffic. Hence the traffic management system (TMS) has to take into account many sources of requests towards the traffic operation e.g. coming from the maintenance planning or the power supply system and to optimize the operation with respect to many criteria as e.g. punctuality, energy consumption, capacity and infrastructure wear. This chapter shows the sources of information for the TMS as well the resulting criteria. The final approach to configure a specific has to be done with respect to a specific application.
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Martynov, Vitaly Vladimirovich, Peter Sakál, Alexey Skuratov, Elena Ivanovna Filosova, Alena Alekseevna Zaytseva, and Elena Shavkatovna Zakieva. "CSRP." In Advances in Higher Education and Professional Development, 115–25. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-3395-5.ch011.

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This chapter proposes a new model of managing educational institutions' activities to provide staffing needs: customer synchronized resource planning (CSRP). It describes a technology that rebuilds the learning process in order to reduce the time needed to prepare staff adequately with the competencies required by employers as requested by the economy sector. At present the development of an open system for the educational institution is being carried out. This system is able not only to create an educational program dynamically, which allows us to get the right number of specialists with the desired competencies in the minimum period, but also to rebuild the agency's management system for new tasks: to generate the necessary training materials, make changes in the timetable, and rebuild the educational portal by adding new data.
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Berbey Alvarez, Aranzazu, and Jessica Guevara-Cedeño. "Railway Engineering." In Latin American Women and Research Contributions to the IT Field, 371–95. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7552-9.ch017.

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This chapter is a case study of the dissemination of railway engineering research in Latin America developed by a railway engineering research group. The leader of the group is a female researcher. The authors aim to inspire to other women researchers in Latin American and Caribbean (LAC) countries who are trying to develop research in IT areas, many times facing serious difficulties, incomprehension, and great challenges. This chapter is divided in set sections like introduction, background, development of railway engineering research. This third section is divided into subsections like timetable planning and trains control, characterization of Panama metro line 1, dwelling times, fuzzy logic, artificial intelligence, social-economics railway externalities, and environmental railway externalities. The fourth section presents the results of the relationship between research activity and teaching of railway engineering obtained in this case study. Finally, the authors present a brief vision about future and emerging regional trends about railway engineering projects.
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"Advanced Timetables: Optimization and Synchronization." In Public Transit Planning and Operation, 129–82. CRC Press, 2016. http://dx.doi.org/10.1201/b18689-10.

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Conference papers on the topic "Timetable planning"

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Yang Ting-Hong, Dan Qi, Shen Xiao-Na, Zhao Jing, and Xie Li. "The urgency of timetable task in course timetable planning." In 2010 International Conference on Apperceiving Computing and Intelligence Analysis (ICACIA). IEEE, 2010. http://dx.doi.org/10.1109/icacia.2010.5709883.

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Chen, I.-Chang, Shu-Keng Hsu, Hsiu-Hao Hsu, Chuen-Yih Chen, Dung-Ying Lin, Wei-Hsun Lee, and Yusin Lee. "TrainWorld: A Powerful Tool for Railway Timetabling." In 2013 Joint Rail Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/jrc2013-2478.

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Planning for the operation of a railway system is a very complicated task. At the center stage of this planning work is timetabling. In this work we present TrainWorld, a powerful, sophisticated software system that, among other capabilities, is able to solve for high-quality timetables for real-sized, complicated railways. Testing with Taiwan Railways Administration (TRA) data demonstrates the ability of TrainWorld in solving for real-world timetables. The TRA system has 224 stations, approximately three-quarters of the 1085Km railway are double-tracked, and the rest are single-tracked. The system offers close to 1000 daily services in its 18-hour operation hours. Some busy stations carry more than 280 services a day, resulting in an eight-minute average headway between trains. TrainWorld is able to solve a timetable for such a system in approximately 70 hours, and the result is close to the real timetable.
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Bešinović, N. "Supporting tools for automated timetable planning." In COMPRAIL 2014, edited by E. Quaglietta and R. M. P. Goverde. Southampton, UK: WIT Press, 2014. http://dx.doi.org/10.2495/cr140461.

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Longo, G., and G. Medeossi. "Enhancing timetable planning with stochastic dwell time modelling." In COMPRAIL 2012. Southampton, UK: WIT Press, 2012. http://dx.doi.org/10.2495/cr120391.

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Irene, Ho Sheau Fen, Safaai Deris, Mohd Hashim, and Siti Zaiton. "University course timetable planning using hybrid particle swarm optimization." In the first ACM/SIGEVO Summit. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1543834.1543868.

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Kavaliauskas, Donatas, and Leonidas Sakalauskas. "Conceptual model of productivity bot for smart construction planning." In The 13th international scientific conference “Modern Building Materials, Structures and Techniques”. Vilnius Gediminas Technical University, 2019. http://dx.doi.org/10.3846/mbmst.2019.003.

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One of the most important tasks in modern construction is to build a building according to the desired time schedule. This requires a timetable for the construction stages processes. The schedule is also easy to adapt and to plan the renovation of a building or maintenance works. Without a good schedule site manager cannot effectively handle construction area processes. The solution to this problem is the proposed productivity bot concept based on metaheuristic algorithms. Metaheuristic algorithms allow to improve the construction planning process schedules compared with conventional planning methods and equipment. The results of testing with construction planning data has shown that the metaheuristic algorithm achieved the main improvements during the first planning optimization stages. The proposed concept is expected to present results that are close to the optimal timetable and surpass classical methods for scheduling. Productivity bots act as a software engine complementing with the organization of construction or automation functionality. Productivity bot is designed to manage building processes. It is intended for automated planning of construction stages schedules according to construction technologies.
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Buchmueller, S., U. Weidmann, and A. Nash. "Development of a dwell time calculation model for timetable planning." In COMPRAIL 2008. Southampton, UK: WIT Press, 2008. http://dx.doi.org/10.2495/cr080511.

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BAKAR, ABU, and NAJLAA ATEEQ. "The importance of information Sharing automation for university Timetable planning." In Second International Conference on Advances in Information Processing and Communication Technology - IPCT 2015. Institute of Research Engineers and Doctors, 2015. http://dx.doi.org/10.15224/978-1-63248-044-6-15.

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9

Li Zeng, Xue-Bo Chen, Wangbao Xu, and Xiaoying Su. "Bird Occupancy Model and Algorithm for Timetable Planning Based on Swarm Intelligence." In 2006 6th World Congress on Intelligent Control and Automation. IEEE, 2006. http://dx.doi.org/10.1109/wcica.2006.1712830.

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Chen, I.-Chang, Shu-Keng Hsu, Teh-Juan Wu, Li-Hsien Yen, Yusin Lee, Dung-Ying Lin, Chuen-Yih Chen, Wei-Hsun Lee, and Guo-Wei Su. "RDSP: A Railway Decision Support Platform for Integrating and Bridging Existed Legacy Systems." In 2013 Joint Rail Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/jrc2013-2442.

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Railway system operation is a very complicated task and must be supported by the coordination of several systems including engineering, transportation, locomotive maintenance and management, ticket system and passengers service, etc. Ideally, a modern railway enterprise information system should be an integrated, consisted, and site-opened database to support railway system operation. However, multiple isolated applications instead of one integrated enterprise information system are often formed due to historical factors such as independent departments, budgetary constraint and application requirements diversification. Take Taiwan Railways Administration (TRA) as an example, four major departments have their own support systems and databases that store critical planning and operational data. Those systems are isolated and can hardly communicate with each other. As a result, most cross-systems information analyses or data reference for decision making are done manually, which significantly affect the organizational efficiency of TRA. To address the aforementioned issues, a railway decision support platform (RDSP) for integrating the legacy systems (databases) is proposed in this paper. RDSP is designed to be a railway enterprise information system that supports the critical functions of data warehouse and decision support. Furthermore, RDSP is built by integrating the existing legacy systems rather than by building it from scratch. A data bridging system (HDBS) including four modules are design and implemented, input module for connecting the external data sources, output module for exporting integrated report or dumping data by predefined criteria for other systems, configuration module with a web-based user interface for setting up the periodic operations of data input or output tasks, and DB connection module for connecting external databases. Various types of railway system data are designed in RDSP schema and collected, including facilities, timetable, train services records, tickets, centralized traffic control (CTC) system records, and automatic train protection (ATP) system records. RDSP provides a system framework to integrate many isolated island-style databases that currently exist in TRA, and can form a cross-enterprise database that serves as the primary and only data platform. To demonstrate the efficacy of the RDSP, a spatiotemporal ticket-selling analysis report, a train delay cause analysis report, and a timetable planning software (TrainWorld) are designed on top of it. In the future, RDSP will play a major supportive role in infrastructure maintenance, operations, decision support, and planning.
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