Dynamic Travel Choice Models for Urban Transportation Networks

Dynamic Travel Choice Models for Urban Transportation Networks PDF Author: Larry J. LeBlanc
Publisher:
ISBN:
Category : Choice of transportation
Languages : en
Pages : 7

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Book Description

Dynamic Travel Choice Models for Urban Transportation Networks

Dynamic Travel Choice Models for Urban Transportation Networks PDF Author: Larry J. LeBlanc
Publisher:
ISBN:
Category : Choice of transportation
Languages : en
Pages : 7

Get Book Here

Book Description


Dynamic Urban Transportation Network Models

Dynamic Urban Transportation Network Models PDF Author: Bin Ran
Publisher: Springer Science & Business Media
ISBN: 3662007738
Category : Business & Economics
Languages : en
Pages : 395

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Book Description
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.

Modeling Dynamic Transportation Networks

Modeling Dynamic Transportation Networks PDF Author: Bin Ran
Publisher: Springer Science & Business Media
ISBN: 3642802303
Category : Business & Economics
Languages : en
Pages : 365

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Book Description
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.

Dynamic Travel Choice Models

Dynamic Travel Choice Models PDF Author: Huey-Kuo Chen
Publisher: Springer Science & Business Media
ISBN: 364259980X
Category : Business & Economics
Languages : en
Pages : 328

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Book Description
Contains up-to-date and accessible material, plus all the necessary mathematical background. By verifying the asymmetric property of the dynamic link travel time function, while identifying the inflow, exit flow and number of vehicles on a physical link as three different states over time, the author adopts a variational inequality approach using one time-space link variable. This is then used to formulate problems with deterministic, stochastic and fuzzy traffic information. The book is thus of particular interest to those readers involved in aspects of model formulation, solution algorithm, equivalence analysis and numerical examples.

Strategic Planning for Urban Transportation

Strategic Planning for Urban Transportation PDF Author: Guido Noto
Publisher: Springer Nature
ISBN: 3030368831
Category : Business & Economics
Languages : en
Pages : 137

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Book Description
This book focuses on the adoption of a Dynamic Performance Management (DPM) approach to support the planning and management of urban transportation systems. DPM allows one to embrace a dynamic and systemic perspective and, as a result, to frame the contribution of different stakeholders, in terms of outcome-based performance, at an inter-institutional level. The discussed DPM approach allows one to focus on the causal relationships and feedback processes that characterize urban transportation systems’ governance. Particularly, through the adoption of such an approach, it is possible to identify outcome-based performance measures that help to monitor and drive the governance network toward the creation of public value for the reference communities.Strategic Planning for Urban Transportation: A Dynamic Performance Management Approach begins with an examination of urban transportation, highlighting the main criticalities and future challenges of managing it. Next, the book examines the governance of urban transportation including how to identify and engage stakeholders. Finally, the book introduces the main application of DPM and system dynamics to urban areas, with specific regards to transportation. The framework is outlined, and a case study is provided as a practical example of how to apply the model. This book should be useful to urban transportation decision-makers at both the managerial and political level.

Dynamics and Stochasticity in Transportation Systems

Dynamics and Stochasticity in Transportation Systems PDF Author: Giulio Cantarella
Publisher: Elsevier
ISBN: 0128143541
Category : Social Science
Languages : en
Pages : 357

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Book Description
Dynamics and Stochasticity in Transportation Systems: Solutions for Transportation Network Modeling breaks new ground on the topics, providing consistent and comprehensive coverage of steady state equilibrium and dynamic assignment within a common strategy. The book details the most recent advances in network assignment, including day-to-day and within-day dynamics, providing a solid foundation to help transportation planners solve transient overload and other problems. Users will find a book that fills the gap in knowledge with its description on how to use and employ the latest dynamic network models for evaluation of traffic and transport demand interventions. This book demystifies the many different dynamic traffic assignment approaches and requires no previous knowledge on the part of the reader. All results are fully described and proven, thus eliminating the need to seek out other references. The skills described will appeal to transportation professionals, researchers and graduate students alike. Presents a consistent and comprehensive theory on steady state equilibrium assignment and day-to-day dynamic assignment models within a common framework Describes and solves modeling calculations in detail, with no need to reference other sources Includes numerical and graphical examples, text boxes and summaries at the end of each chapter to help readers better understand theoretical components Includes primary mathematical tools necessary for each dynamic model, easing comprehension

Transportation Planning

Transportation Planning PDF Author: Michael Patriksson
Publisher: Springer Science & Business Media
ISBN: 0306482207
Category : Business & Economics
Languages : en
Pages : 253

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Book Description
This book collects selected presentations of the Meeting of the EURO Working Group on Transportation, which took place at the Department of Ma- ematics at Chalmers University of Technology, Göteborg (or, Gothenburg), Sweden, September 9–11, 1998. [The EURO Working Group on Transpor- tion was founded at the end of the 7th EURO Summer Institute on Urban Traffic Management, which took place in Cetraro, Italy, June 21–July, 1991. There were around 30 founding members of the Working Group, a number which now has grown to around 150. Meetings since then include Paris (1993), Barcelona (1994), and Newcastle (1996). ] About 100 participants were present, enjoying healthy rain and a memorable conference dinner in the Feskekôrka. The total number of presentations at the conference was about 60, coming from quite diverse areas within the field of operations research in transportation, and covering all modes of transport: Deterministic traffic equilibrium models (6 papers) Stochastic traffic equilibrium models (5 papers) Combined traffic models (3 papers) Dynamic traffic models (7 papers) Simulation models (4 papers) Origin–destination matrix estimation (2 papers) Urban public transport models (8 papers) Aircraft scheduling (1 paper) Ship routing (2 papers) Railway planning and scheduling (6 papers) Vehicle routing (3 papers) Traffic management (3 papers) Signal control models (3 papers) Transportation systems analysis (5 papers) ix x TRANSPORTATION PLANNING Among these papers, 14 were eventually selected to be included in this volume.

Urban Traffic Networks

Urban Traffic Networks PDF Author: Nathan H. Gartner
Publisher: Springer Science & Business Media
ISBN: 3642796419
Category : Business & Economics
Languages : en
Pages : 376

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Book Description
The problems of urban traffic in the industrially developed countries have been at the top of the priority list for a long time. While making a critical contribution to the economic well being of those countries, transportation systems in general and highway traffic in particular, also have detrimental effects which are evident in excessive congestion, high rates of accidents and severe pollution problems. Scientists from different disciplines have played an important role in the development and refinement of the tools needed for the planning, analysis, and control of urban traffic networks. In the past several years, there were particularly rapid advances in two areas that affect urban traffic: 1. Modeling of traffic flows in urban networks and the prediction of the resulting equilibrium conditions; 2. Technology for communication with the driver and the ability to guide him, by providing him with useful, relevant and updated information, to his desired destination.

Modeling Traveler Behavior Via Day-to-day Learning Dynamics

Modeling Traveler Behavior Via Day-to-day Learning Dynamics PDF Author: Ozlem Yanmaz-Tuzel
Publisher:
ISBN:
Category : Congestion pricing
Languages : en
Pages : 246

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Book Description
Travel behavior lies at the core of analysis and evaluation of transportation related measures aiming to improve urban mobility, environmental quality and a wide variety of social objectives. A better understanding of travel behavior will improve travel demand forecasting and the assessment of emerging transport policies, and will improve our means to increase road safety. The day-to-day models reflect the travelers' learning and forecasting mechanisms. These models predict travelers' choices for any given day based on their experienced choices in the previous days. Day-to-day approaches allow the use of wide range of behavioral rules, and levels of aggregation, and capture the heterogeneity in users' learning and adaptation processes, and behavioral characteristics. This thesis aims to develop a novel framework to model the interdependence between travelers' choice decisions, learning and adaptation behavior and the day-to-day update mechanism of traffic flows. The novelty of this thesis is that the proposed approach combines traveler heterogeneity and rationality in a single framework to predict travelers' day-to-day departure time and route decisions, and develops a novel day-to-day dynamic traffic assignment approach. The empirical results obtained from real transportation network, New Jersey Turnpike, confirm that the proposed day-to-day learning and dynamic traffic assignment framework model can successfully capture the significant learning dynamics, demonstrating the possibility of developing a psychological framework (i.e., learning models) as a viable approach to represent travel behavior. The other contributions of this thesis include a novel route choice set generation approach based on stochastic integer programming approach. The proposed methodology takes into account travel time variability and reliability in the transportation network. The path relevance criteria are directly incorporated into the optimization model by minimizing mean travel time, travel time variability and path overlap. Unlike previous approaches in the literature, proposed methodology eliminates the filtering step from the choice set generation and generates paths sets at desired dissimilarity level while minimizing the travel time and variability of these paths. Several case studies show the applicability of the proposed methodology on real transportation networks.

Evolving Transportation Networks

Evolving Transportation Networks PDF Author: Feng Xie
Publisher: Springer Science & Business Media
ISBN: 1441998047
Category : Political Science
Languages : en
Pages : 282

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Book Description
Over the last two centuries, the development of modern transportation has significantly transformed human life. The main theme of this book is to understand the complexity of transportation development and model the process of network growth including its determining factors, which may be topological, morphological, temporal, technological, economic, managerial, social or political. Using multidimensional concepts and methods, the authors develop a holistic framework to represent network growth as an open and complex process with models that demonstrate in a scientific way how numerous independent decisions made by entities such as travelers, property owners, developers, and public jurisdictions could result in a coherent network of facilities on the ground. Models are proposed from innovative perspectives including self-organization, degeneration, and sequential connection to interpret the evolutionary growth of transportation networks in explicit consideration of independent economic and regulatory initiatives. Employing these models, the authors survey a series of topics ranging from network hierarchy and topology to first mover advantage. The authors demonstrate, with a wide spectrum of empirical and theoretical evidence, that network growth follows a path that is not only logical in retrospect, but also predictable and manageable from a planning perspective. In the larger scheme of innovative transportation planning, this book provides a re-consideration of conventional planning practice and sets the stage for further development on the theory and practice of the next-generation, evolutionary planning approach in transportation, making it of interest to scholars and practitioners alike in the field of transportation .