Dynamic Rerouting In Multimodal Transportation Networks

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Dynamic Rerouting in Multimodal Transportation Networks

Author : Omar Dib
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (113 download)

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Book Synopsis Dynamic Rerouting in Multimodal Transportation Networks by : Omar Dib

Download or read book Dynamic Rerouting in Multimodal Transportation Networks written by Omar Dib and published by . This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The human mobility is nowadays organized in a multimodal context with more and more complex transport networks. The number of passengers is increasing and new transport modes enter the system day after day simultaneously with new mobility behaviors. As a result, users usually find themselves more confused when choosing between several possibilities to go from one place to their destination. For the sake of helping them to efficiently navigate through this intricate transportation scheme, an efficient Travelers Information System (TIS) has to be built. Thanks to such a system, the transport operators seek not only to provide passengers with optimal itineraries, but also with efficient and reliable solutions in case of disruptions. In fact, commuters do not only seek short time travels, but they usually consider several other criteria such as comfort and effort. An efficient routing system should therefore take into account the various needs and preferences of each passenger. Besides, transport modes are often prone to delays. Thus, handling uncertainty is also a very important aspect of practical journey planning systems. Moreover, the proposed multimodal routes should not only be feasible in a static case, but also robust against the dynamic and stochastic variations of the transport system. Furthermore, crucial constraints should be taken into account such as the capacity limitation of vehicles and the time complexity of the developed routing algorithms. The main objective of this thesis is to propose a formulation that adequately allows representing a multimodal network. Based on our formulation, we elaborate several efficient routing algorithms. In particular, we focus on solving the Earliest Arrival Problem in a single/multiple criteria context, both in dynamic and stochastic environments. To deal with the real time complexity issue, metaheuristics such as Genetic Algorithms (GA), Variable Neighborhood Search (VNS) and Memetic Algorithms (MA) have been used. The computational performance of this work has been assessed by developing a real world route planning system, and solving real life itinerary planning problems defined on the transport network of the French Region Île-de-France that includes the city of Paris and its suburbs. The emerging computational results indicate that the numerous basic and complex instances were solved within a reasonable amount of time and the integration of the proposed routing framework as a module of an operational TIS is relevant.

Multimodal Transport Systems

Author : Slim Hammadi
Publisher : John Wiley & Sons
ISBN 13 : 1118577256
Total Pages : 231 pages
Book Rating : 4.1/5 (185 download)

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Book Synopsis Multimodal Transport Systems by : Slim Hammadi

Download or read book Multimodal Transport Systems written by Slim Hammadi and published by John Wiley & Sons. This book was released on 2013-12-11 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use and management of multimodal transport systems, including car-pooling and goods transportation, have become extremely complex, due to their large size (sometimes several thousand variables), the nature of their dynamic relationships as well as the many constraints to which they are subjected. The managers of these systems must ensure that the system works as efficiently as possible by managing the various causes of malfunction of the transport system (vehicle breakdowns, road obstructions, accidents, etc.). The detection and resolution of conflicts, which are particularly complex and must be dealt with in real time, are currently processed manually by operators. However, the experience and abilities of these operators are no longer sufficient when faced with the complexity of the problems to be solved. It is thus necessary to provide them with an interactive tool to help with the management of disturbances, enabling them to identify the different disturbances, to characterize and prioritize these disturbances, to process them by taking into account their specifics and to evaluate the impact of the decisions in real time. Each chapter of this book can be broken down into an approach for solving a transport problem in 3 stages, i.e. modeling the problem, creating optimization algorithms and validating the solutions. The management of a transport system calls for knowledge of a variety of theories (problem modeling tools, multi-objective problem classification, optimization algorithms, etc.). The different constraints increase its complexity drastically and thus require a model that represents as far as possible all the components of a problem in order to better identify it and propose corresponding solutions. These solutions are then evaluated according to the criteria of the transport providers as well as those of the city transport authorities. This book consists of a state of the art on innovative transport systems as well as the possibility of coordinating with the current public transport system and the authors clearly illustrate this coordination within the framework of an intelligent transport system. Contents 1. Dynamic Car-pooling, Slim Hammadi and Nawel Zangar. 2. Simulation of Urban Transport Systems, Christian Tahon, Thérèse Bonte and Alain Gibaud. 3. Real-time Fleet Management: Typology and Methods, Frédéric Semet and Gilles Goncalves. 4. Solving the Problem of Dynamic Routes by Particle Swarm, Mostefa Redouane Khouahjia, Laetitia Jourdan and El Ghazali Talbi. 5. Optimization of Traffic at a Railway Junction: Scheduling Approaches Based on Timed Petri Nets, Thomas Bourdeaud’huy and Benoît Trouillet. About the Authors Slim Hammadi is Full Professor at the Ecole Centrale de Lille in France, and Director of the LAGIS Team on Optimization of Logistic systems. He is an IEEE Senior Member and specializes in distributed optimization, multi-agent systems, supply chain management and metaheuristics. Mekki Ksouri is Professor and Head of the Systems Analysis, Conception and Control Laboratory at Tunis El Manar University, National Engineering School of Tunis (ENIT) in Tunisia. He is an IEEE Senior Member and specializes in control systems, nonlinear systems, adaptive control and optimization. The multimodal transport network customers need to be oriented during their travels. A multimodal information system (MIS) can provide customers with a travel support tool, allowing them to express their demands and providing them with the appropriate responses in order to improve their travel conditions. This book develops methodologies in order to realize a MIS tool capable of ensuring the availability of permanent multimodal information for customers before and while traveling, considering passengers mobility.

Modeling And Optimizing Route Choice For Multimodal Transportation Networks

Author : Behzad Rouhieh
Publisher :
ISBN 13 :
Total Pages : 215 pages
Book Rating : 4.:/5 (111 download)

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Book Synopsis Modeling And Optimizing Route Choice For Multimodal Transportation Networks by : Behzad Rouhieh

Download or read book Modeling And Optimizing Route Choice For Multimodal Transportation Networks written by Behzad Rouhieh and published by . This book was released on 2016 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traffic congestion has been one of the major issues that most urban areas are facing and thus, many solutions have been developed and deployed in order to mitigate its negative effects. Advanced Traveler Information Systems (ATIS) have been used over the past two decades to provide travelers with pre-trip or real-time traffic information. Most of the efforts have focused on providing timely traffic information at locations with regularly occurring congestion. ATIS can be used to provide travelers with pre-trip and on-route travel information necessary to improve trip decision making with respect to various criteria (e.g. minimizing delay, constraining travel to specific modes). Many jurisdictions within Canada and the United States have implemented the 511 travel information system that provides traffic information, road conditions and closures, traffic cameras, etc. Several studies were conducted on vehicle routing optimization methods in ATIS. Most of them consider passenger vehicles as the only transportation mode in their routing algorithm. Others that include two transportation modes are mostly based on shortest path algorithms. However, a probabilistic based route optimization approach could better capture the stochastic characteristic of road traffic conditions. This research investigates an adaptive routing methodology for multi-modal transportation networks. A routing algorithm based on Markov decision processes is proposed to capture short-term traffic characteristics of transportation networks. Graph theory is used to model typical travel behavior within a multimodal network. This thesis proposes to use special network modeling elements, e.g. super nodes, to allow the integration of public transportation schedule into the model via the publicly available predefined timetables. The proposed routing algorithm applies an iterative function to select the optimal transportation mode/route through the network junctions along a given path. The proposed methodology is applied to several real-world networks of motorized and non-motorized modes located in the central business district in Toronto, Ontario, and Montreal and Longueuil in Quebec. The networks include train, bus, streetcar, subway and bicycle transportation facilities. Microsimulation models of the networks developed in VISSIM and AIMSUN are used to estimate travel times along major arterials, for all transportation modes and for different traffic demands and congestion levels. The simulation models were calibrated using volume and speed data. The developed routing algorithm is applied to several scenarios in order to estimate optimal routes for a hypothetical traveler moving between two arbitrarily selected nodes in the network. The results identify the most efficient combination of transportation modes that the travelers have to use given specific constraints pertaining to traffic and transit service conditions. It is also shown that by applying the proposed algorithm to bus lines, transit agencies can have significant cost savings by rerouting their fleet. The results of the proposed research have the potential to be integrated into various Intelligent Transportation Systems applications by combining available traveler information services. It can assist travelers in making more informed decisions regarding their travel plans and provide transportation agencies with an overall assessment of the system and its performance. For example, it can be used to minimize the impact of congested traffic conditions on the overall travel time and/or cost incurred by travelers as well as the operating cost of transit agencies.

Engineering Algorithms for Route Planning in Multimodal Transportation Networks

Author :
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (946 download)

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Book Synopsis Engineering Algorithms for Route Planning in Multimodal Transportation Networks by :

Download or read book Engineering Algorithms for Route Planning in Multimodal Transportation Networks written by and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Pro-active Dynamic Vehicle Routing

Author : Francesco Ferrucci
Publisher : Springer Science & Business Media
ISBN 13 : 3642334725
Total Pages : 356 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Pro-active Dynamic Vehicle Routing by : Francesco Ferrucci

Download or read book Pro-active Dynamic Vehicle Routing written by Francesco Ferrucci and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with transportation processes denoted as the Real-time Distribution of Perishable Goods (RDOPG). The book presents three contributions that are made to the field of transportation. First, a model considering the minimization of customer inconvenience is formulated. Second, a pro-active real-time control approach is proposed. Stochastic knowledge is generated from past request information by a new forecasting approach and is used in the pro-active approach to guide vehicles to request-likely areas before real requests arrive there. Various computational results are presented to show that in many cases the pro-active approach is able to achieve significantly improved results. Moreover, a measure for determining the structural quality of request data sets is also proposed. The third contribution of this book is a method that is presented for considering driver inconvenience aspects which arise from vehicle en-route diversion activities. Specifically, this method makes it possible to restrict the number of performed vehicle en-route diversion activities.

MoTrIS

Author : Theodoros Chondrogiannis
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (12 download)

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Book Synopsis MoTrIS by : Theodoros Chondrogiannis

Download or read book MoTrIS written by Theodoros Chondrogiannis and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Large-scale Transportation Routing and Mode Optimization

Author : Yibo Dang
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (136 download)

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Book Synopsis Large-scale Transportation Routing and Mode Optimization by : Yibo Dang

Download or read book Large-scale Transportation Routing and Mode Optimization written by Yibo Dang and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the logistics industry, many resources are spent on handling the challenges in complex transportation planning problems. The growth of e-commerce demand scalable and hybrid delivery solutions that are in-time, cost-efficient, and clean. Increased workloads demand sophisticated scheduling and routing timelines. Therefore, governments and major logistics companies are launching different programs to promote sustainable distribution processes that leverage multiple transportation modes. In this way, the transportation network costs will be decreased and the carbon efficiency will be improved. Such increasing need for detailed and multimodal plans to larger transportation problems makes the current decision support tools indispensable. The low-quality solutions and the lack of big-data capability have concerned the practitioners for a long time. The problem of routing and scheduling with different types of carriers and modes have drawn limited attentions in previous research. There is no comprehensive research that discusses implementable models and algorithms with most real-world constraints on such transportation mode decision problem. The problem implies the design of long-haul transport, efficient last-mile deliveries to fulfill the demands within in strict time windows. Because it may take several days to cover a long-haul route, it is mandatory to consider breaks or layovers during the trip. Due to the capacity limit, some non-profitable deliveries are subcontracted to third-party carriers. This strategy allows the company to fill their vehicle fleets to the maximum. To further optimize the cost and carbon efficiencies of the vehicle fleets, different types of vehicles are to be evaluated. While the traditional diesel trailers can efficiently handle large amount of cargo, the travel costs and the greenhouse gas emissions cannot be negligible. While the technologies of electric vehicles are becoming mature, the driving-range issue and the high purchase cost still worry the industry. These challenges inhibit the success of a multimodal transportation network. In this dissertation, we investigate the three related optimization problems via meta-heuristics and mathematical programming – 1) a vehicle routing problem with common carriers and time regulation (VRPCCTR), in which the working hour limit is specified and third-party common carriers’ services are considered for unprofitable deliveries; 2) an extended version of the first problem where heterogeneous-sized vehicle fleets are involved (called HVRPCCTR); 3) the electric vehicles are introduced to the problem so that the mode decision becomes determining optimal routes between mixed vehicle types and sizes (called MVRPC) observing the time windows, recharging needs, service of hours regulations, and other constraints. In short, we study a new variant of the vehicle routing problem with three shipping modes – heterogeneous internal combustion vehicles, electric vehicles, and common carriers. Our main contributions are three-fold: We propose a novel meta-heuristic algorithm called Red-Black Ant Colony System for the problems, where the black ants are searching for regular routes using different sizes of vehicles whereas the red ants re-optimize within the common carrier deliveries to build efficient dedicated fleet routes. A developed tool can solve the mode decision problem for 150,000 deliveries. And its implementation has conducted over $5 million of dollars of savings for DHL and its customers annually. For each of the three problems, we give mixed integer linear programming (MILP) models and introduce strong valid inequalities. We prove the strengths of each set of valid inequalities by analyzing the linear relaxation bounds of the models. The endeavors of reducing the symmetry in the MILP models can be seen as the complexities grow from VRPCCTR through HVRPCCTR to MVRPC. We extend our work to incorporate green transportation plans. The recharges for electric vehicles and layover needs are efficiently modeled as renewable resources. This dissertation presents the first exact method based on a branch-and-cut- and-pricing algorithm for variants of MVRPC. The algorithm is tested on real data set from small sizes to medium sizes. Its performance and sensitivity are analyzed. The results show that the our algorithm can solve the problems up to 120 customers to exact optimality. Our results provide analytical insights and implementable large-scale algorithms for multimodal transportation networks of the next-generation logistic operations. The algorithms can also be utilized to study other types of scaling networks such as social networks, electrical grid, 3D printing models, etc. Other industries, such as manufacturing, digital communication, shared economy, etc., can also benefit from our results.

Geocomputation with R

Author : Robin Lovelace
Publisher : CRC Press
ISBN 13 : 1351396900
Total Pages : 335 pages
Book Rating : 4.3/5 (513 download)

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Book Synopsis Geocomputation with R by : Robin Lovelace

Download or read book Geocomputation with R written by Robin Lovelace and published by CRC Press. This book was released on 2019-03-22 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data. The book is divided into three parts: (I) Foundations, aimed at getting you up-to-speed with geographic data in R, (II) extensions, which covers advanced techniques, and (III) applications to real-world problems. The chapters cover progressively more advanced topics, with early chapters providing strong foundations on which the later chapters build. Part I describes the nature of spatial datasets in R and methods for manipulating them. It also covers geographic data import/export and transforming coordinate reference systems. Part II represents methods that build on these foundations. It covers advanced map making (including web mapping), "bridges" to GIS, sharing reproducible code, and how to do cross-validation in the presence of spatial autocorrelation. Part III applies the knowledge gained to tackle real-world problems, including representing and modeling transport systems, finding optimal locations for stores or services, and ecological modeling. Exercises at the end of each chapter give you the skills needed to tackle a range of geospatial problems. Solutions for each chapter and supplementary materials providing extended examples are available at https://geocompr.github.io/geocompkg/articles/. Dr. Robin Lovelace is a University Academic Fellow at the University of Leeds, where he has taught R for geographic research over many years, with a focus on transport systems. Dr. Jakub Nowosad is an Assistant Professor in the Department of Geoinformation at the Adam Mickiewicz University in Poznan, where his focus is on the analysis of large datasets to understand environmental processes. Dr. Jannes Muenchow is a Postdoctoral Researcher in the GIScience Department at the University of Jena, where he develops and teaches a range of geographic methods, with a focus on ecological modeling, statistical geocomputing, and predictive mapping. All three are active developers and work on a number of R packages, including stplanr, sabre, and RQGIS.

Multiple Path Based Vehicle Routing in Dynamic and Stochastic Transportation Networks

Author : Dongjoo Park
Publisher :
ISBN 13 :
Total Pages : 232 pages
Book Rating : 4.:/5 (855 download)

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Book Synopsis Multiple Path Based Vehicle Routing in Dynamic and Stochastic Transportation Networks by : Dongjoo Park

Download or read book Multiple Path Based Vehicle Routing in Dynamic and Stochastic Transportation Networks written by Dongjoo Park and published by . This book was released on 1999 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Context-Based Routing in Dynamic Networks

Author : Bernd-Ludwig Wenning
Publisher : Springer Science & Business Media
ISBN 13 : 3834897094
Total Pages : 202 pages
Book Rating : 4.8/5 (348 download)

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Book Synopsis Context-Based Routing in Dynamic Networks by : Bernd-Ludwig Wenning

Download or read book Context-Based Routing in Dynamic Networks written by Bernd-Ludwig Wenning and published by Springer Science & Business Media. This book was released on 2010-11-01 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bernd-Ludwig Wenning presents a context-based routing framework which can be applied to routing in different application domains. The routing framework includes the signaling as well as a decision system that is applied for route selection.

Multi-modal Route Choice Modeling in a Dynamic Schedule-based Transit Network

Author : Maëlle Zimmermann
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (15 download)

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Book Synopsis Multi-modal Route Choice Modeling in a Dynamic Schedule-based Transit Network by : Maëlle Zimmermann

Download or read book Multi-modal Route Choice Modeling in a Dynamic Schedule-based Transit Network written by Maëlle Zimmermann and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Modelling Intelligent Multi-Modal Transit Systems

Author : Agostino Nuzzolo
Publisher : CRC Press
ISBN 13 : 1498743544
Total Pages : 339 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Modelling Intelligent Multi-Modal Transit Systems by : Agostino Nuzzolo

Download or read book Modelling Intelligent Multi-Modal Transit Systems written by Agostino Nuzzolo and published by CRC Press. This book was released on 2017-02-17 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: The growing mobility needs of travellers have led to the development of increasingly complex and integrated multi-modal transit networks. Hence, transport agencies and transit operators are now more urgently required to assist in the challenging task of effectively and efficiently planning, managing, and governing transit networks. A pre-condition for the development of an effective intelligent multi-modal transit system is the integration of information and communication technology (ICT) tools that will support the needs of transit operators and travellers. To achieve this, reliable real-time simulation and short-term forecasting of passenger demand and service network conditions are required to provide both real-time traveller information and successfully synchronise transit service planning and operations control. Modelling Intelligent Multi-Modal Transit Systems introduces the current trends in this newly emerging area. Recent developments in information technology and telematics have enabled a large amount of data to become available, thus further attracting transport researchers to set up new models outside the context of the traditional data-driven approach. The alternative demand-supply interaction or network assignment modelling approach has improved greatly in recent years and has a crucial role to play in this new context.

Algorithm Engineering

Author : Lasse Kliemann
Publisher : Springer
ISBN 13 : 3319494872
Total Pages : 428 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Algorithm Engineering by : Lasse Kliemann

Download or read book Algorithm Engineering written by Lasse Kliemann and published by Springer. This book was released on 2016-11-10 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithm Engineering is a methodology for algorithmic research that combines theory with implementation and experimentation in order to obtain better algorithms with high practical impact. Traditionally, the study of algorithms was dominated by mathematical (worst-case) analysis. In Algorithm Engineering, algorithms are also implemented and experiments conducted in a systematic way, sometimes resembling the experimentation processes known from fields such as biology, chemistry, or physics. This helps in counteracting an otherwise growing gap between theory and practice.

Symmetry in Engineering Sciences

Author : Raúl Baños Navarro
Publisher : MDPI
ISBN 13 : 3039218743
Total Pages : 220 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Symmetry in Engineering Sciences by : Raúl Baños Navarro

Download or read book Symmetry in Engineering Sciences written by Raúl Baños Navarro and published by MDPI. This book was released on 2019-11-21 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents interesting samples of theoretical and practical advances of symmetry in multidisciplinary engineering applications. It covers several applications, such as accessibility and traffic congestion management, path planning for mobile robots, analysis of shipment service networks, fault diagnosis methods in electrical circuits and electrical machines, geometrical issues in architecture, geometric modeling and virtual reconstruction, design of noise detectors, filters, and segmentation methods for image processing, and cyclic symmetric structures in turbomachinery applications, to name but a few. The contributions included in this book depict the state of the art in this field and lay the foundation for the possibilities that the study of symmetry has in multidisciplinary applications in the field of engineering.

Efficient Routing on Multi-modal Transportation Networks

Author : Dominik Kirchler
Publisher :
ISBN 13 :
Total Pages : 147 pages
Book Rating : 4.:/5 (117 download)

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Book Synopsis Efficient Routing on Multi-modal Transportation Networks by : Dominik Kirchler

Download or read book Efficient Routing on Multi-modal Transportation Networks written by Dominik Kirchler and published by . This book was released on 2013 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Systems Science

Author : Jerzy Świątek
Publisher : Springer
ISBN 13 : 3319489445
Total Pages : 345 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Advances in Systems Science by : Jerzy Świątek

Download or read book Advances in Systems Science written by Jerzy Świątek and published by Springer. This book was released on 2016-11-04 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers the carefully reviewed proceedings of the 19th International Conference on Systems Science, presenting recent research findings in the areas of Artificial Intelligence, Machine Learning, Communication/Networking and Information Technology, Control Theory, Decision Support, Image Processing and Computer Vision, Optimization Techniques, Pattern Recognition, Robotics, Service Science, Web-based Services, Uncertain Systems and Transportation Systems. The International Conference on Systems Science was held in Wroclaw, Poland from September 7 to 9, 2016, and addressed a range of topics, including systems theory, control theory, machine learning, artificial intelligence, signal processing, communication and information technologies, transportation systems, multi-robotic systems and uncertain systems, as well as their applications. The aim of the conference is to provide a platform for communication between young and established researchers and practitioners, fostering future joint research in systems science.

Humanitarian and Relief Logistics

Author : Vasileios Zeimpekis
Publisher : Springer Science & Business Media
ISBN 13 : 1461470072
Total Pages : 227 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Humanitarian and Relief Logistics by : Vasileios Zeimpekis

Download or read book Humanitarian and Relief Logistics written by Vasileios Zeimpekis and published by Springer Science & Business Media. This book was released on 2014-07-08 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume highlights recent research advances in humanitarian relief logistics. The contributed chapters span the spectrum of key issues and activities from preparedness to mitigation operations (response), planning and execution. The volume also presents state-of-the-art methods and systems through current case studies. Significant issues in planning and execution of humanitarian relief logistics discussed in this volume include the following: • Approaches that tackle realistic relief distribution networks. In addition to large-scale computing issues, heuristics may handle the complexity and particularities of humanitarian supply chains • Methods that integrate real-time information while effectively coping with time pressure and uncertainty, both of which are inherent to a disaster scene • Judicious recourse strategies that allow a quick and effective restoration of pre-planned solutions whenever an unpredictable event occurs • Coordination of multiple parties that are often involved in managing a disaster, including NGOs, local, state and federal agencies. This volume provides robust evidence that research in humanitarian logistics may lead to substantial improvements in effectiveness and efficiency of disaster relief operations. This is quite encouraging, since the unique characteristics of disaster scenes provide significant opportunities for researchers to investigate novel approaches contributing to logistics research while offering a significant service to society.