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Transportation network analysis

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TLDR
This book presents a coherent approach to the analysis of transportation networks based on the concept of network equilibrium and the application of convex programming methods, and indicates promising areas for further research.
Abstract
Transportation Networks. Optimality. Cost Functions. Deterministic User Equilibrium Assignment. Stochastic User Equilibrium Assignment. Trip Table Estimation. Network Reliability. Network Design. Conclusions. References. Index.

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The travel and environmental implications of shared autonomous vehicles, using agent-based model scenarios

TL;DR: In this article, the authors describe the design of an agent-based model for shared autonomous vehicle (SAV) operations, the results of many case-study applications using this model, and the estimated environmental benefits of such settings, versus conventional vehicle ownership and use.
Journal ArticleDOI

Importance and Exposure in Road Network Vulnerability Analysis

TL;DR: In this paper, several link importance indices and site exposure indices are derived, based on the increase in generalised travel cost when links are closed, for the road network of northern Sweden.
Journal ArticleDOI

An introduction to road vulnerability: what has been done, is done and should be done

TL;DR: Vulnerability in the road transportation system, studied not only from a safety point of view but also as a problem of an insufficient level of service, is proposed as a setting for future transport studies as mentioned in this paper.
Journal ArticleDOI

Capacity reliability of a road network: an assessment methodology and numerical results

TL;DR: The capacity reliability analysis is extended by providing a comprehensive methodology, which combines reliability and uncertainty analysis, network equilibrium models, sensitivity analysis of equilibrium network flow and expected performance measure, as well as Monte Carlo methods, to assess the performance of a degradable road network.
Journal ArticleDOI

Vulnerability and resilience of transport systems : A discussion of recent research

TL;DR: In this paper, the authors provide an overview of recent research on vulnerability and resilience of transport systems, and argue that more cross-disciplinary collaborations between authorities, operators and researchers would be desirable to transform this knowledge into practical strategies to strengthen the resilience of the transport system.
References
More filters
Journal ArticleDOI

Importance and Exposure in Road Network Vulnerability Analysis

TL;DR: In this paper, several link importance indices and site exposure indices are derived, based on the increase in generalised travel cost when links are closed, for the road network of northern Sweden.
Journal ArticleDOI

An introduction to road vulnerability: what has been done, is done and should be done

TL;DR: Vulnerability in the road transportation system, studied not only from a safety point of view but also as a problem of an insufficient level of service, is proposed as a setting for future transport studies as mentioned in this paper.
Journal ArticleDOI

Capacity reliability of a road network: an assessment methodology and numerical results

TL;DR: The capacity reliability analysis is extended by providing a comprehensive methodology, which combines reliability and uncertainty analysis, network equilibrium models, sensitivity analysis of equilibrium network flow and expected performance measure, as well as Monte Carlo methods, to assess the performance of a degradable road network.
Journal ArticleDOI

Vulnerability and resilience of transport systems : A discussion of recent research

TL;DR: In this paper, the authors provide an overview of recent research on vulnerability and resilience of transport systems, and argue that more cross-disciplinary collaborations between authorities, operators and researchers would be desirable to transform this knowledge into practical strategies to strengthen the resilience of the transport system.
Journal ArticleDOI

Dynamic ride-sharing and fleet sizing for a system of shared autonomous vehicles in Austin, Texas

TL;DR: In this article, the authors investigate the potential of shared autonomous vehicles (SAVs) for U.S. urban areas via multiple applications across the Austin, Texas, network and show that a private fleet operator paying $70,000 per new SAV could earn a 19% annual (long-term) return on investment while offering SAV services at $1.00 per mile for a non-shared trip.