Solution Methods for Robust Pricing for Transportation Networks Under Demand Uncertainty PDF Download
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Author: Lauren Marie Gardner
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Lauren Marie Gardner
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Stephen David Boyles
Publisher:
ISBN:
Category : Congestion pricing
Languages : en
Pages : 58
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Author: Joseph Ying Jun Chow
Publisher:
ISBN: 9781109678178
Category :
Languages : en
Pages : 256
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Book Description
Strategies, models, and algorithms facilitating such models are explored to provide transportation network managers and planners with more flexibility under uncertainty. Network design problems with non-stationary stochastic OD demand are formulated as real option investment problems and dynamic programming solution methodologies are used to obtain the value of flexibility to defer and re-design a network. The design premium is shown to reflect the opportunity cost of committing to a "preferred alternative" in transportation planning. Both network option and link option design problems are proposed with solution algorithms and tested on the classical Sioux Falls, SD network. Results indicate that allowing individual links to be deferred can have significant option value. A resource relocation model using non-stationary stochastic variables as chance constraints is proposed. The model is applied to air tanker relocation for initial attack of wildfires in California, and results show that the flexibility to switch locations with non-stationary stochastic variables providing 3-day or 7-day forecasts is more cost-effective than relocations without forecasting. Due to the computational costs of these more complex network models, a faster converging heuristic based on radial basis functions is evaluated for continuous network design problems for the Anaheim, CA network with a 31-dimensional decision variable. The algorithm is further modified and then proven to converge for multi-objective problems. Compared to other popular multi-objective solution algorithms in the literature such as the genetic algorithm, the proposed multi-objective radial basis function algorithm is shown to be most effective. The algorithm is applied to a flexible robust toll pricing problem, where toll pricing is proposed as a strategy to manage network robustness over multiple regimes of link capacity uncertainty. A link degradation simulation model is proposed that uses multivariate Bernoulli random variables to simulate correlated link failures. The solution to a multi-objective mean-variance toll pricing problem is obtained for the Sioux Falls network under low and high probability seasons, showing that the flexibility to adapt the Pareto set of toll solutions to changes in regime - e.g. hurricane seasons, security threat levels, etc - can increase value in terms of an epsilon indicator.
Author: David Levinson
Publisher: Springer Science & Business Media
ISBN: 1461409470
Category : Political Science
Languages : en
Pages : 263
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This book contains selected peer-reviewed papers that were presented at the Fourth International Symposium on Transportation Network Reliability (INSTR) Conference held at the University of Minnesota July 22-23, 2010. International scholars, from a variety of disciplines--engineering, economics, geography, planning and transportation—offer varying perspectives on modeling and analysis of the reliability of transportation networks in order to illustrate both vulnerability to day-to-day and unpredictability variability and risk in travel, and demonstrates strategies for addressing those issues. The scope of the chapters includes all aspects of analysis and design to improve network reliability, specifically user perception of unreliability of public transport, public policy and reliability of travel times, the valuation and economics of reliability, network reliability modeling and estimation, travel behavior and vehicle routing under uncertainty, and risk evaluation and management for transportation networks. The book combines new methodologies and state of the art practice to model and address questions of network unreliability, making it of interest to both academics in transportation and engineering as well as policy-makers and practitioners.
Author: Jennifer Clare Duthie
Publisher:
ISBN:
Category : Origin and destination traffic surveys
Languages : en
Pages : 62
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Author: Fernando Ordóñez
Publisher:
ISBN:
Category : Highway capacity
Languages : en
Pages : 90
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Author: Saïd Salhi
Publisher: Springer Nature
ISBN: 3030969355
Category : Business & Economics
Languages : en
Pages : 923
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Book Description
Operations Research (OR) is a fast-evolving field, which is having a significant impact on its neighbouring disciplines of Business Analytics and Data Science, and on contemporary business and management practices. This handbook provides a comprehensive and cutting edge collection of studies in the area. Views differ on what should be included within the scope of OR. The editors of this volume have taken the view that an inclusive stance is the most helpful, both for theory and practice. Real-world problems often require consideration from both ‘softer’ and ‘harder’ perspectives and need consideration of both predictive and prescriptive problems. In accordance with this inclusive approach to OR, the book is divided into six parts, covering Discrete Optimization, Continuous Optimization, Heuristic Search Optimization, Forecasting, Simulation and Prediction, Problem Structuring and Behavioural OR, and finally some recent OR Applications. This wide-ranging handbook includes a culturally diverse collection of authors, with different perspectives and backgrounds around Operations Research. It will be of tremendous value to researchers, students and practitioners in the field of OR
Author: Xiang Li
Publisher: Springer Nature
ISBN: 9819999634
Category :
Languages : en
Pages : 474
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Author:
Publisher:
ISBN: 9780309125963
Category : Network analysis (Planning)
Languages : en
Pages : 143
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Book Description
TRB's Transportation Research Record: Journal of the Transportation Research Board, No. 2085 includes 15 papers that explore a dynamic network loading model, an algorithm for solving stochastic problems of transportation network analysis, robust pricing of transportation networks under uncertain demand, simultaneous offline estimation of dynamic origin-destination flows, dynamic origin-destination demand estimation, and application of generalized Wardrop principle in regional transportation. This issue of the TRR also examines the origin-destination matrix correction procedure using traffic counts, measuring uncertainty costs using dynamic traffic simulations, an enhanced lagged cell-transmission model for dynamic traffic assignment, stochastic user equilibrium traffic assignment models, an algorithm for the equilibrium signal-setting problem, traffic assignment considering risk-taking behaviors, modeling user responses to pricing, and adaptive route choice models.
Author: Nikolaos Freris
Publisher: European Alliance for Innovation
ISBN: 1631904566
Category : Business & Economics
Languages : en
Pages : 822
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Book Description
The 2023 5th International Conference on Economic Management and Model Engineering (ICEMME 2023) was held on November 17-19, 2023 in Beijing, China. The primary objective of this conference is to facilitate the exchange of ideas and knowledge among researchers, scholars, and practitioners in the field of economic management and modeling engineering. Through presentations, discussions, and networking opportunities, participants will have the chance to explore the latest advancements, methodologies, and best practices in these areas. The conference was focused on three main themes: Enterprise Economic Management and Market Mechanism Assessment; Data Statistical Analysis and Economic Forecasting; Industrial Structure Optimization and Economic Green Development. For readers, this collection of papers offers a comprehensive insight into cutting-edge research and case studies, providing valuable information on current trends, challenges, and opportunities in economic management and modeling engineering. Readers will benefit from the diverse perspectives and innovative approaches presented in these papers, inspiring new ideas and solutions for their own research endeavors. Moreover, the positive influence of this conference extends beyond the current discussions. It is expected that the findings and recommendations shared in these proceedings will serve as a foundation for future research in the field of economic management and modeling engineering. By fostering collaboration, knowledge sharing, and academic discourse, this conference aims to contribute to the advancement of the field and stimulate further research initiatives in the years to come.
