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Social and Behavioral Sciences Commons

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University of Wollongong

2014

Constraints

Articles 1 - 2 of 2

Full-Text Articles in Social and Behavioral Sciences

Asymmetric Stochastic User Equilibrium Problem With Elastic Demand And Link Capacity Constraints, Qiang Meng, Zhiyuan Liu, Shuaian Wang Jan 2014

Asymmetric Stochastic User Equilibrium Problem With Elastic Demand And Link Capacity Constraints, Qiang Meng, Zhiyuan Liu, Shuaian Wang

Faculty of Engineering and Information Sciences - Papers: Part A

This paper focuses on model development and algorithm design for the general stochastic user equilibrium (SUE) problem with elastic demand, asymmetric link travel time functions and link capacity constraints. It first defines the generalised SUE conditions using generalised link travel time. An equivalent variational inequality (VI) model for these generalised SUE conditions is then developed and it is rigorously proven to be monotone and uniform Lipschitzcontinuous. These two properties of the proposed VI model ensure the global convergence of the self-adaptive prediction–correction algorithm incorporating cost averaging method as a solution algorithm. Finally, a numerical example is utilised to assess the …


Real-Time Task Attributes And Temporal Constraints, Amir Ashamalla, Ghassan Beydoun, N Paramesh Jan 2014

Real-Time Task Attributes And Temporal Constraints, Amir Ashamalla, Ghassan Beydoun, N Paramesh

Faculty of Engineering and Information Sciences - Papers: Part A

Real-time tasks need attributes for monitoring their execution and performing recovery actions in case of failures. Temporal constraints are a class of real-time task attributes where the constraints relate the status of the task to temporal entities. Violating temporal constraints can produce consequences of unknown severity. This paper is part of our on-going research on real-time multi agent systems constraints. We discuss the importance of temporal constraints and present a task model that explicitly represents temporal constraints. We also present our preliminary results from our initial implementation in the domain of Meeting Schedules Management involving multiple users assisted by agents.