Download or read book Optimization of Large Traffic Systems written by and published by . This book was released on 1977 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Web Artificial Intelligence and Network Applications written by Leonard Barolli and published by Springer Nature. This book was released on 2020-03-30 with total page 1487 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings book presents the latest research findings, and theoretical and practical perspectives on innovative methods and development techniques related to the emerging areas of Web computing, intelligent systems and Internet computing. The Web has become an important source of information, and techniques and methodologies that extract quality information are of paramount importance for many Web and Internet applications. Data mining and knowledge discovery play a key role in many of today's major Web applications, such as e-commerce and computer security. Moreover, Web services provide a new platform for enabling service-oriented systems. The emergence of large-scale distributed computing paradigms, such as cloud computing and mobile computing systems, has opened many opportunities for collaboration services, which are at the core of any information system. Artificial intelligence (AI) is an area of computer science that builds intelligent systems and algorithms that work and react like humans. AI techniques and computational intelligence are powerful tools for learning, adaptation, reasoning and planning, and they have the potential to become enabling technologies for future intelligent networks. Research in the field of intelligent systems, robotics, neuroscience, artificial intelligence and cognitive sciences is vital for the future development and innovation of Web and Internet applications. Chapter "An Event-Driven Multi Agent System for Scalable Traffic Optimization" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Download or read book Robust and Online Large Scale Optimization written by Ravindra K. Ahuja and published by Springer Science & Business Media. This book was released on 2009-10-26 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scheduled transportation networks give rise to very complex and large-scale networkoptimization problems requiring innovative solution techniques and ideas from mathematical optimization and theoretical computer science. Examples of scheduled transportation include bus, ferry, airline, and railway networks, with the latter being a prime application domain that provides a fair amount of the most complex and largest instances of such optimization problems. Scheduled transport optimization deals with planning and scheduling problems over several time horizons, and substantial progress has been made for strategic planning and scheduling problems in all transportation domains. This state-of-the-art survey presents the outcome of an open call for contributions asking for either research papers or state-of-the-art survey articles. We received 24 submissions that underwent two rounds of the standard peer-review process, out of which 18 were finally accepted for publication. The volume is organized in four parts: Robustness and Recoverability, Robust Timetabling and Route Planning, Robust Planning Under Scarce Resources, and Online Planning: Delay and Disruption Management.

Download or read book Computationally Efficient Simulation based Optimization Algorithms for Large scale Urban Transportation Problems written by Linsen Chong and published by . This book was released on 2017 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this thesis, we propose novel computationally efficient optimization algorithms that derive effective traffic management strategies to reduce congestion and improve the efficiency of urban transportation systems. The proposed algorithms enable the use of high-resolution yet computationally inefficient urban traffic simulators to address large-scale urban transportation optimization problems in a computationally efficient manner. The first and the second part of this thesis focus on large-scale offline transportation optimization problems with stochastic simulation-based objective functions, analytical differentiable constraints and high-dimensional decision variables. We propose two optimization algorithms to solve these problems. In the first part, we propose a simulation-based metamodel algorithm that combines the use of an analytical stationary traffic network model and a dynamic microscopic traffic simulator. In the second part, we propose a metamodel algorithm that combines the use of an analytical transient traffic network model and the microscopic simulator. In the first part, we use the first metamodel algorithm to solve a large-scale fixed-time traffic signal control problem of the Swiss city of Lausanne with limited simulation runs, showing that the proposed algorithm can derive signal plans that outperform traditional simulation-based optimization algorithms and a commercial traffic signal optimization software. In the second part, we use both algorithms to solve a time-dependent traffic signal control problem of Lausanne, showing that the metamodel with the transient analytical traffic model outperforms that with the stationary traffic model. The third part of this thesis focuses on large-scale online transportation problems, which need to be solved with limited computational time. We propose a new optimization framework that combines the use of a problem-specific model-driven method, i.e., the method proposed in the first part, with a generic data-driven supervised machine learning method. We use this framework to address a traffic responsive control problem of Lausanne. We compare the performance of the proposed framework with the performance of an optimization framework with only the model-driven method and an optimization framework with only the data-driven method, showing that the proposed framework is able to derive signal plans that outperform the signal plans derived by the other two frameworks in most cases.

Download or read book Control of Traffic Systems in Buildings written by Sandor A. Markon and published by Springer Science & Business Media. This book was released on 2006-11-22 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transportation systems in buildings are part of everyday life: whether ferrying people twenty storeys up to the office or moving luggage at the airport, 21st-century society relies on them. This book presents the latest in analysis and control of transportation systems in buildings focusing primarily on elevator groups. The theory and design of passenger and cargo transport systems are covered, with operational examples and topics of special interest.

Download or read book Optimization in Large Scale Problems written by Mahdi Fathi and published by Springer Nature. This book was released on 2019-11-20 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides resourceful thinking and insightful management solutions to the many challenges that decision makers face in their predictions, preparations, and implementations of the key elements that our societies and industries need to take as they move toward digitalization and smartness. The discussions within the book aim to uncover the sources of large-scale problems in socio-industrial dilemmas, and the theories that can support these challenges. How theories might also transition to real applications is another question that this book aims to uncover. In answer to the viewpoints expressed by several practitioners and academicians, this book aims to provide both a learning platform which spotlights open questions with related case studies. The relationship between Industry 4.0 and Society 5.0 provides the basis for the expert contributions in this book, highlighting the uses of analytical methods such as mathematical optimization, heuristic methods, decomposition methods, stochastic optimization, and more. The book will prove useful to researchers, students, and engineers in different domains who encounter large scale optimization problems and will encourage them to undertake research in this timely and practical field. The book splits into two parts. The first part covers a general perspective and challenges in a smart society and in industry. The second part covers several case studies and solutions from the operations research perspective for large scale challenges specific to various industry and society related phenomena.

Download or read book Optimized Time dependent Congestion Pricing System for Large Networks written by Aya Aboudina and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Congestion pricing is one of the most widely contemplated methods to manage traffic congestion. The purpose of congestion pricing is to manage traffic demand generation and supply allocation by charging fees (i.e., tolling) for the use of certain roads in order to distribute traffic demand more evenly over time and space. This study presents a system for large-scale optimal time-varying congestion pricing policy determination and evaluation. The proposed system integrates a theoretical model of dynamic congestion pricing, a distributed optimization algorithm, a departure time choice model, and a dynamic traffic assignment (DTA) simulation platform, creating a unified optimal (location- and time-specific) congestion pricing system. The system determines and evaluates the impact of optimal tolling on road traffic congestion (supply side) and travellers' behavioural choices, including departure time and route choices (demand side). For the system's large-scale nature and the consequent computational challenges, the optimization algorithm is executed concurrently on a parallel cluster. The system is applied to simulation-based case studies of tolling major highways in the Greater Toronto Area (GTA) while capturing the regional effects of tolling. The models are developed and calibrated using regional household travel survey data that reflect travellers' heterogeneity. The DTA model is calibrated using actual traffic counts from the Ontario Ministry of Transportation and the City of Toronto. The main results indicate that: (1) more benefits are attained from variable tolling due to departure time rescheduling as opposed to mostly re-routing only in the case of flat tolling, (2) widespread spatial and temporal re-distributions of traffic are observed across the regional network in response to tolling significant - yet limited - highways in the region, (3) optimal variable pricing mirrors congestion patterns and induces departure time re-scheduling and rerouting patterns, resulting in improved average travel times and schedule delays at all scales, (4) tolled routes have different sensitivities to identical toll changes, (5) the start times of longer trips are more sensitive (elastic) to variable distance-based tolling policies compared to shorter trips, (6) optimal tolls intended to manage traffic demand are significantly lower than those intended to maximize toll revenues, (7) toll payers benefit from tolling even before toll revenues are spent, and (8) the optimal tolling policies determined offer a win-win solution in which travel times are improved while also raising funds to invest in sustainable transportation infrastructure.

Download or read book Transitions Towards Sustainable Mobility written by Jo A.E.E. van Nunen and published by Springer Science & Business Media. This book was released on 2011-08-19 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Delivering a sustainable transport system is not just a matter of adopting a number of technological innovations to improve performance in terms of people, planet, and profits. A broader structural and societal transition is needed in technology, as well as in institutions, behavioural patterns, and the economy as a whole. In this broader view, neither the free market nor the public sector will be the unique key player in making this transition happen. Elements of such an approach are presented in this book in a number of domains: integrating transport infrastructure and land use planning, thus connecting fields that are rather unconnected in day-to-day policies; experiments with dynamic transport optimization, including reports on pilot projects to test the viability of transitions; towards reliable transport systems, describing a reversal from supply-driven towards demand-driven approaches; and sustainable logistics and traffic management, from ‘local’ city distribution to global closed supply chain loops.

Download or read book Technical Commercial and Regulatory Challenges of QoS written by XiPeng Xiao and published by Morgan Kaufmann. This book was released on 2008-10-27 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technical, Commerical and Regulatory Challenges of QoS provides a comprehensive examination of Internet QoS theory, standards, vendor implementation and network deployment from the practitioner's point of view, including extensive discussion of related economic and regulatory issues. Written in a technology-light way so that a variety of professionals and researchers in the information and networking industries can easily grasp the material. Includes case studies based on real-world experiences from industry. The author starts by discussing the economic, regulatory and technical challenges of the existing QoS model. Key coverage includes defining a clear business model for selling and buying QoS in relation to current and future direction of government regulation and QoS interoperability (or lack thereof) between carriers and networking devices. The author then demonstrates how to improve the current QoS model to create a clear selling point, less regulation uncertainty, and higher chance of deployment success. This includes discussion of QoS re-packaging to end-users; economic and regulatory benefits of the re-packaging; and the overall benefits of an improved technical approach. Finally, the author discusses the future evolution of QoS from an Internet philosophy perspective and lets the reader draw the conclusions. This book is the first QoS book to provide in depth coverage on the commercial and regulatory aspects of QoS, in addition to the technical aspect. From that, readers can grasp the commercial and regulatory issues of QoS and their implications on the overall QoS business model. This book is also the first QoS book to provide case studies of real world QoS deployments, contributed by the people who did the actual deployments. From that, readers can grasp the practical issues of QoS in real world. This book is also the first QoS book to cover both wireline QoS and wireless QoS. Readers can grasp the QoS issues in the wireless world. The book was reviewed and endorsed by a long list of prominent industrial and academic figures. Discusses QoS technology in relation to economic and regulatory issues Includes case studies based on real-world examples from industry practitioners Provides unique insight into how to improve the current QoS model to create a clear selling point, less regulatory uncertainty, and higher chance of deployment success

Download or read book Mathematical Methods on Optimization in Transportation Systems written by M. Pursula and published by Springer Science & Business Media. This book was released on 2013-12-14 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains selected papers from the presentations given at the 7th EURO-Working Group Meeting on 'Iransportation, which took place at the Helsinki University of Technology (HUT), Finland, during August 2-4, 1999. Altogether 31 presentations were given and 14 full papers have been selected in this publication through a peer review process coordinated by the editors. The papers in this book cover a wide range of transportation problems from the simulation of railway traffic to optimum congestion tolling and mode choice modeling with stated preference data. In general, the variety of papers clearly demonstrates the wide areas of interest of people who are involved in the research of transportation systems and their operation. They as well demonstrate the importance and possibilities of modeling and theoretical approaches in the analysis of transportation systems and problem solving. Most of the papers are purely theoretical in nature, that is, they present a theoretical model with only a hypothetical example of applica tion. There are, however, some papers, which are closer to the practice or describe applications of and give interesting results of studies made by known methodologies. It is especially noteworthy, that half of the accepted papers deal with planning and operation of public transport.

Download or read book Advances in Delay tolerant Networks DTNs written by Joel J.P.C. Rodrigues and published by Elsevier. This book was released on 2014-11-20 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: Part one looks at delay-tolerant network architectures and platforms including DTN for satellite communications and deep-space communications, underwater networks, networks in developing countries, vehicular networks and emergency communications. Part two covers delay-tolerant network routing, including issues such as congestion control, naming, addressing and interoperability. Part three explores services and applications in delay-tolerant networks, such as web browsing, social networking and data streaming. Part four discusses enhancing the performance, reliability, privacy and security of delay-tolerant networks. Chapters cover resource sharing, simulation and modeling and testbeds. Reviews the different types of DTN and shows how they can be applied in satellite and deep-space communications, vehicular and underwater communications, and during large-scale disasters Considers the potential for rapid selection and dissemination of urgent messages is considered Reviews the breadth of areas in which DTN is already providing solutions and the prospects for its wider adoption

Download or read book Traffic Throughput and Safety Enhancement for Vehicular Traffic Networks written by Seokheon Cho and published by . This book was released on 2014 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: For decades, one of the most significant challenges in vehicular traffic networks has been how to mitigate traffic congestion characterized by increased vehicle queueing and slower traffic speeds. Whereas traffic congestion is a complicated and subjective matter, congestion delay consists of recurrent delay and non-recurrent delay. Recurring congestion is attributed to high excess demand that constitutes about half of congestion delay, and most of the rest is non-recurring congestion mainly occurring due to incidents. In order to reduce congestion more effectively in vehicular traffic networks, it is necessary to focus on how to control high utility demand for using traffic systems and how to guarantee safety against incidents by using various strategies, instead of inefficiently widening roads. Therefore, this dissertation provides diverse approaches to improve system throughput as well as to enhance collision safety for vehicular traffic networks through understanding of vehicular traffic flow, ramp-metering control, traffic safety metric, and inter-vehicle velocity control. In Chapter 2, we provide a macroscopic traffic flow model called a time-gap-based traffic model, which is a good and simple representative model for vehicular traffic flow. The proposed time-gap-based traffic model is well validated with empirical traffic data using least squares matching and is consistent with previous research outcomes about propagation velocity. Moreover, two analysis techniques to estimate the time gap from traffic measurement data are suggested. Chapter 3 presents two optimal coordinated ramp-metering algorithms based on the time-gap-based traffic model defined in Chapter 2. The purpose of the two optimization problems is to attain the maximum average system capacity for vehicular traffic networks. In addition, both of them are coordinated ramp-metering strategies that make use of the measurement data along a highway corridor to control all metered ramps simultaneously. One is a steady-state optimization problem used under supposition when the traffic system reaches a steady-state, whereas another optimal control is a time-variant optimization problem exploited when the traffic flow changes continuously with respect to time. The time-variant optimization problem considers an on-ramp queue management strategy. We propose a traffic safety metric called a safety marginal value (SMV) to be applied to continuous-space and discrete-time vehicular traffic networks in Chapter 4. The SMV represents the safety level of collision risk at every time step and is bounded by two non-negative integers. However, the computational complexity in determining the SMV grows dramatically, particularly when the number of vehicles traveling on a roadway increases. Hence, a finite space horizon for the SMV is also developed in order to prune the computational complexity of our proposed traffic safety indicator. A safety analysis of a car-following model is conducted with the SMV and with a microscopic traffic simulation. A car-following model called a target time-gap-based velocity update model is proposed in Chapter 5. Our proposed microscopic traffic flow model is used for inter-vehicle velocity control, which every vehicle exploits in order to refresh the velocity and position for the next time step. The microscopic traffic simulation results are matched well with empirical traffic data. Thus, the target time-gap-based velocity update model is considered a representative car-following model that can accurately mimic typical driving behavior. The effective domains of the target time gap and the update time interval, which guarantee both collision-free movement of all vehicles and system capacity enhancement compared to the traffic data measured in the field, are examined.

Download or read book Integrated Optimization in Public Transport Planning written by Philine Schiewe and published by Springer Nature. This book was released on 2020-06-23 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is one of the first to include an extensive discussion of integrated public transport planning. In times of growing urban populations and increasing environmental awareness, the importance of optimizing public transport systems is ever-developing. Three different aspects are presented: line planning, timetabling, and vehicle scheduling. Classically, challenges concerning these three aspects of planning are solved sequentially. Due to their high interdependence, the author presents a clear and detailed analysis of innovative, integrated models with accompanied numerical experiments performed to assess, and often support, the benefits of integration. The book will appeal to a wide readership ranging from graduate students to researchers.

Download or read book Simulation Based Optimization written by Abhijit Gosavi and published by Springer. This book was released on 2014-10-30 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning introduce the evolving area of static and dynamic simulation-based optimization. Covered in detail are model-free optimization techniques – especially designed for those discrete-event, stochastic systems which can be simulated but whose analytical models are difficult to find in closed mathematical forms. Key features of this revised and improved Second Edition include: · Extensive coverage, via step-by-step recipes, of powerful new algorithms for static simulation optimization, including simultaneous perturbation, backtracking adaptive search and nested partitions, in addition to traditional methods, such as response surfaces, Nelder-Mead search and meta-heuristics (simulated annealing, tabu search, and genetic algorithms) · Detailed coverage of the Bellman equation framework for Markov Decision Processes (MDPs), along with dynamic programming (value and policy iteration) for discounted, average, and total reward performance metrics · An in-depth consideration of dynamic simulation optimization via temporal differences and Reinforcement Learning: Q-Learning, SARSA, and R-SMART algorithms, and policy search, via API, Q-P-Learning, actor-critics, and learning automata · A special examination of neural-network-based function approximation for Reinforcement Learning, semi-Markov decision processes (SMDPs), finite-horizon problems, two time scales, case studies for industrial tasks, computer codes (placed online) and convergence proofs, via Banach fixed point theory and Ordinary Differential Equations Themed around three areas in separate sets of chapters – Static Simulation Optimization, Reinforcement Learning and Convergence Analysis – this book is written for researchers and students in the fields of engineering (industrial, systems, electrical and computer), operations research, computer science and applied mathematics.

Download or read book Transportation Research Record written by and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Encyclopedia of Optimization written by Christodoulos A. Floudas and published by Springer Science & Business Media. This book was released on 2008-09-04 with total page 4646 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of the Encyclopedia of Optimization is to introduce the reader to a complete set of topics that show the spectrum of research, the richness of ideas, and the breadth of applications that has come from this field. The second edition builds on the success of the former edition with more than 150 completely new entries, designed to ensure that the reference addresses recent areas where optimization theories and techniques have advanced. Particularly heavy attention resulted in health science and transportation, with entries such as "Algorithms for Genomics", "Optimization and Radiotherapy Treatment Design", and "Crew Scheduling".

Download or read book Optimization Models and Methods for Equilibrium Traffic Assignment written by Alexander Krylatov and published by Springer Nature. This book was released on 2019-11-26 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is focused on the discussion of the traffic assignment problem, the mathematical and practical meaning of variables, functions and basic principles. This work gives information about new approaches, methods and algorithms based on original methodological technique, developed by authors in their publications for the past several years, as well as corresponding prospective implementations. The book may be of interest to a wide range of readers, such as civil engineering students, traffic engineers, developers of traffic assignment algorithms etc. The obtained results here are to be used in both practice and theory. This book is devoted to the traffic assignment problem, formulated in a form of nonlinear optimization program. The most efficient solution algorithms related to the problem are based on its structural features and practical meaning rather than on standard nonlinear optimization techniques or approaches. The authors have carefully considered the meaning of the traffic assignment problem for efficient algorithms development.