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Urban Transportation Networks: Equilibrium Analysis With Mathematical Programming Methods

Yosef Sheffi
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The article was published on 1985-01-01 and is currently open access. It has received 2277 citations till now. The article focuses on the topics: Mode choice & Traffic congestion.

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Citations
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A dynamic schedule-based model for congested transit networks

TL;DR: A model and algorithm for solving the equilibrium assignment problem in a congested, dynamic and schedule-based transit network where all travelers have full predictive information about present and future network conditions and select paths that minimize a generalized cost function.
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The representation and implementation of time-dependent inundation in large-scale microscopic evacuation simulations

TL;DR: It is demonstrated how to adapt an existing multi-agent transportation simulation framework to large-scale pedestrian evacuation simulation for the Indonesian city of Padang, which faces a high risk of being inundated by a tsunami.
Posted Content

Modeling the Growth of Transportation Networks: A Comprehensive Review

TL;DR: In this paper, the authors review the progress that has been made over the last half-century in modeling and analyzing the growth of transportation networks and point out the challenges that are faced to model the complex process of transport development.
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Robust congestion pricing under boundedly rational user equilibrium

TL;DR: These congestion pricing models seek a toll vector or pattern that minimizes the system travel time of the worst-case tolled BRUE flow distribution and propose a heuristic algorithm based on penalization and a cutting-plane scheme to solve them.
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A strategic network choice model for global container flows: specification, estimation and application

TL;DR: In this article, the authors present a strategic model for the movement of containers on a global scale in order to analyse possible shifts in future container transport demand and the impacts of transport policies thereon.
References
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Urban travel demand - a behavioral analysis

TL;DR: In this paper, the authors integrate economic concepts of supply and demand equilibrium for urban activities using the concept of traffic equilibrium within transportation networks and describe the cutting edge in travel demand analysis using the latest methods.