Modeling Dynamic Transportation Networks

Modeling Dynamic Transportation Networks

Author: Bin Ran

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 365

ISBN-13: 3642802303

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This book seeks to summarize our recent progress in dynamic trans portation network modeling. It concentrates on ideal dynamic network models based on actual travel times and their corresponding solution algorithms. In contrast, our first book DynamIc Urban Transportation Network Models - The ory and Implications for Intelligent Vehicle-Hzghway Systems (Springer-Verlag, 1994) focused on instantaneous dynamic network models. Comparing the two books, the major differences can be summarized as follows: 1. This book uses the variational inequality problem as the basic formulation approach and considers the optimal control problem as a subproblem for solution purposes. The former book used optimal control theory as the basic formulation approach, which caused critical problems in some circumstances. 2. This book focuses on ideal dynamic network models based on actual travel times. The former book focused on instantaneous dynamic network models based on currently prevailing travel times. 3. This book formulates a stochastic dynamic route choice model which can utilize any possible route choice distribution function instead of only the logit function. 4. This book reformulates the bilevel problem of combined departure time/ route choice as a one-level variational inequality. 5. Finally, a set of problems is provided for classroom use. In addition, this book offers comprehensive insights into the complexity and challenge of applying these dynamic network models to Intelligent Trans portation Systems (ITS). Nevertheless, the models in this text are not yet fully evaluated and are subject to revision based on future research.


Informed Urban Transport Systems

Informed Urban Transport Systems

Author: Joseph Chow

Publisher: Elsevier

Published: 2018-07-25

Total Pages: 492

ISBN-13: 0128136146

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Informed Urban Transport Systems examines how information gathered from new technologies can be used for optimal planning and operation in urban settings. Transportation researchers, and those from related disciplines, such as artificial intelligence, energy, applied mathematics, electrical engineering and environmental science will benefit from the book's deep dive into the transportation domain, allowing for smarter technological solutions for modern transportation problems. The book helps create solutions with fewer financial, social, political and environmental costs for the populations they serve. Readers will learn from, and be able to interpret, the information and data collected from modern mobile and sensor technologies and understand how to use system optimization strategies using this information. The book concludes with an evaluation of the social and system impacts of modern transportation systems. - Takes a fresh look at transportation systems analysis and design, with an emphasis on urban systems and information/data use - Serves as a focal point for those in artificial intelligence and environmental science seeking to solve modern transportation problems - Examines current analytical innovations that focus on capturing, predicting, visualizing and controlling mobility patterns - Provides an overview of the transportation systems benefitting from modern technologies, such as public transport, freight services and shared mobility service models, such as bike sharing, peer-to-peer ride sharing and shared taxis


Dynamic Urban Transportation Network Models

Dynamic Urban Transportation Network Models

Author: Bin Ran

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 395

ISBN-13: 3662007738

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Intelligent Vehicle-Highway Systems are providing a welcome stimulus to research on dynamic urban transportation network models. This book presents a new generation of models for solving dynamic travel choice problems including traveler's destination choice, mode choice, departure/arrival time choice and route choice. These models are expected to function as off-line travel forecasting and evaluation tools, and eventually as on-line prediction and control models in advanced traveler information and traffic management systems. In addition to a rich set of new formulations and solution algorithms, the book provides a summary of the necessary mathematical background and concludes with a discussion of the requirements for model implementation.


Design of Multimodal Transport Networks

Design of Multimodal Transport Networks

Author: Robertus van Nes

Publisher: Delft University Press

Published: 2002

Total Pages: 308

ISBN-13:

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The doctoral dissertation investigates the consequences of multimodal traveling for designing multimodal transport networks. It describes the characteristics of multimodal travel today and assesses its future potential. The analysis focuses on the way transport transport networks are organized in hierarchical network structures and determines the main mechanisms leading to these hierarchical network structures


Multimodal Transport Systems

Multimodal Transport Systems

Author: Slim Hammadi

Publisher: John Wiley & Sons

Published: 2013-12-11

Total Pages: 231

ISBN-13: 1118577256

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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.


Modelling Intelligent Multi-Modal Transit Systems

Modelling Intelligent Multi-Modal Transit Systems

Author: Agostino Nuzzolo

Publisher: CRC Press

Published: 2017-02-17

Total Pages: 339

ISBN-13: 1498743544

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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.


Megacity Mobility

Megacity Mobility

Author: Zongzhi Li

Publisher: CRC Press

Published: 2021-12-15

Total Pages: 274

ISBN-13: 1000518205

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World population growth and economic prosperity have given rise to ever-increasing demands on cities, transportation planning, and goods movement. This growth, coupled with a slower pace of transportation capacity expansion and deteriorated facility restoration, has led to rapid changes in the transportation planning and policy environment. These stresses are particularly acute for megacities where degradation of mobility and facility performance have reached alarming rates. Addressing these transportation challenges requires innovative solutions. Megacity Mobility grapples with these challenges by addressing transportation policy, planning, and facilities in a multimodal context. It discusses innovative short- and long-term solutions for meeting current and future mobility needs for the world’s most dynamic cities by addressing the influence of urban land use on mobility, 3D spiderweb transportation planning, travel demand management, multimodal transportation with flexible capacity, efficient capacity utilization driven by new technologies, innovative transportation funding and financing, and performance-based budget allocation using asset management principles. It discusses emerging issues, highlights potential challenges affecting proposed solutions, and provides policymakers, planners, and transportation professionals a road map to achieving sustainable mobility in the 21st century. Zongzhi Li is a professor and the director of the Sustainable Transportation and Infrastructure Research (STAIR) Center at Illinois Institute of Technology (IIT). Adrian T. Moore is vice president of policy at Reason Foundation in Washington, D.C., with focuses on privatization, transportation and urban growth, and more. Samuel R. Staley is the director of the DeVoe L. Moore Center in the College of Social Sciences and Public Policy at Florida State University.


Urban Transport XVIII

Urban Transport XVIII

Author: James W. S. Longhurst

Publisher: WIT Press

Published: 2012

Total Pages: 755

ISBN-13: 1845645804

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This book contains the proceedings of the Eighteenth International Conference on on Urban Transport and the Environment, held in A Coruña, Spain, May 14-16, 2012. The papers presented at the conference cover topics such as Urban Transport Planning and Management; Transportation Demand Analysis; Traffic Integration and Control; Intelligent Transport Systems; Transport Modelling and Simulation; Land Use and Transport Integration; Public Transportation Systems; Environmental and Ecological Aspects; Air and Noise Pollution; Safety and Security; Energy and Transport Fuels; Economic and Social Impact; and Advanced Transport Systems.


Data Analytics: Paving the Way to Sustainable Urban Mobility

Data Analytics: Paving the Way to Sustainable Urban Mobility

Author: Eftihia G. Nathanail

Publisher: Springer

Published: 2018-12-11

Total Pages: 877

ISBN-13: 3030023052

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This book aims at showing how big data sources and data analytics can play an important role in sustainable mobility. It is especially intended to provide academicians, researchers, practitioners and decision makers with a snapshot of methods that can be effectively used to improve urban mobility. The different chapters, which report on contributions presented at the 4th Conference on Sustainable Urban Mobility, held on May 24-25, 2018, in Skiathos Island, Greece, cover different thematic areas, such as social networks and traveler behavior, applications of big data technologies in transportation and analytics, transport infrastructure and traffic management, transportation modeling, vehicle emissions and environmental impacts, public transport and demand responsive systems, intermodal interchanges, smart city logistics systems, data security and associated legal aspects. They show in particular how to apply big data in improving urban mobility, discuss important challenges in developing and implementing analytics methods and provide the reader with an up-to-date review of the most representative research on data management techniques for enabling sustainable urban mobility