Development of Stochastic Dynamic Transportation Network Models Toward Real-time Applications PDF Download

Author: Rong He
Publisher:
ISBN:
Category : Transportation
Languages : en
Pages : 176

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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.

Author: Nigel H. M. Wilson
Publisher: Springer Science & Business Media
ISBN: 0387848126
Category : Technology & Engineering
Languages : en
Pages : 319

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Book Description
"Schedule-Based Modeling of Transportation Networks: Theory and Applications" follows the book Schedule-Based Dynamic Transit Modeling, published in this series in 2004, recognizing the critical role that schedules play in transportation systems. Conceived for the simulation of transit systems, in the last few years the schedule-based approach has been expanded and applied to operational planning of other transportation schedule services besides mass transit, e.g. freight transport. This innovative approach allows forecasting the evolution over time of the on-board loads on the services and their time-varying performance, using credible user behavioral hypotheses. It opens new frontiers in transportation modeling to support network design, timetable setting, and investigation of congestion effects, as well as the assessment of such new technologies, such as users system information (ITS technologies).

Author: Nigel H. M. Wilson
Publisher: Springer Science & Business Media
ISBN: 1475764677
Category : Business & Economics
Languages : en
Pages : 288

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Book Description
Schedule-Based Dynamic Transit Modeling: Theory and Applications outlines the new schedule-based dynamic approach to mass transit modeling. In the last ten years the schedule-based dynamic approach has been developed and applied especially for operational planning. It allows time evolution of on-board loads and travel times for each run of each line to be obtained, and uses behavioral hypotheses strictly related to transit systems and user characteristics. It allows us to open new frontiers in transit modelling to support network design, timetable setting, investigation of congestion effects, as well as the assessment of new technologies introduction, such as information to users (ITS technologies). The contributors and editors of the book are leading researchers in the field of transportation, and in this volume they build a solid foundation for developing still more sophisticated models. These future models of mass transit systems will continue to add higher levels of accuracy and sensitivity desired in forecasting the performance of public transport systems.

Author: Toshikazu Shimazaki
Publisher:
ISBN:
Category : Land use
Languages : en
Pages : 212

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Author: Satish V. Ukkusuri
Publisher: Springer Science & Business Media
ISBN: 1461462436
Category : Business & Economics
Languages : en
Pages : 322

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This edited book focuses on recent developments in Dynamic Network Modeling, including aspects of route guidance and traffic control as they relate to transportation systems and other complex infrastructure networks. Dynamic Network Modeling is generally understood to be the mathematical modeling of time-varying vehicular flows on networks in a fashion that is consistent with established traffic flow theory and travel demand theory. Dynamic Network Modeling as a field has grown over the last thirty years, with contributions from various scholars all over the field. The basic problem which many scholars in this area have focused on is related to the analysis and prediction of traffic flows satisfying notions of equilibrium when flows are changing over time. In addition, recent research has also focused on integrating dynamic equilibrium with traffic control and other mechanism designs such as congestion pricing and network design. Recently, advances in sensor deployment, availability of GPS-enabled vehicular data and social media data have rapidly contributed to better understanding and estimating the traffic network states and have contributed to new research problems which advance previous models in dynamic modeling. A recent National Science Foundation workshop on “Dynamic Route Guidance and Traffic Control” was organized in June 2010 at Rutgers University by Prof. Kaan Ozbay, Prof. Satish Ukkusuri , Prof. Hani Nassif, and Professor Pushkin Kachroo. This workshop brought together experts in this area from universities, industry and federal/state agencies to present recent findings in this area. Various topics were presented at the workshop including dynamic traffic assignment, traffic flow modeling, network control, complex systems, mobile sensor deployment, intelligent traffic systems and data collection issues. This book is motivated by the research presented at this workshop and the discussions that followed.

Author: Steven Travis Waller
Publisher:
ISBN:
Category : Network analysis (Planning)
Languages : en
Pages : 376

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Book Description
This thesis employs traditional and new approaches to analyze properties of transportation systems under uncertainty and their effect on the various stages to transportation management; i.e., strategic, tactical, operational and real-time. Numerous pertinent problems are presented or extended to account for dynamics and uncertainty such as the network design problem, dynamic traffic assignment, centralized guidance, and the online shortest path problem. Analytical formulations are developed to describe system properties, and solution algorithms are presented to model transport systems under the stated conditions and, ultimately, to improve the performance of the transportation network.

Author: Ennio Cascetta
Publisher: Springer Science & Business Media
ISBN: 0387758577
Category : Business & Economics
Languages : en
Pages : 753

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"This book provides a rigorous and comprehensive coverage of transportation models and planning methods and is a must-have to anyone in the transportation community, including students, teachers, and practitioners." Moshe Ben-Akiva, Massachusetts Institute of Technology.

Author: Deepak Kumar
Publisher:
ISBN:
Category :
Languages : en
Pages : 176

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Book Description
This thesis develops methodologies for solving constrained shortest path problems in dynamic and random conditions. Due to the randomness of the network, the decisions need to account for uncertainty of the future real-time network state. Currently the randomness of the arc attributes is not taken into consideration. In this thesis, the intent is to develop methodologies for finding best paths when the arc attributes are uncertain, and change with time. Modified label correcting algorithms are developed for several new variations of the constrained stochastic dynamic shortest path problem where the objective is to minimize the expected cost subject to a specified constraint on the travel time of the path. The constraint can be placed on the expected travel time of the path, or on the cumulative probability of experiencing a maximum travel time. Unlike deterministic networks, in which a single minimum cost path can be determined between an origin and a destination, several paths may each have some positive probability of having the least cost for some realization of the network when the arc times and costs are stochastic and thus, a set of Pareto-optimal paths can be generated. Multiple variations are also examined when considering the FIFO nature of travel times in the network. The correctness of the proposed algorithms is proved. Extensive numerical experiments are conducted to access the performance of these procedures. Also some of the instances are discussed where this problem has practical significance

Author: Song Gao
Publisher:
ISBN:
Category :
Languages : en
Pages : 157

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