Abstract:The aim of this paper is to remove the known limitations of Deterministic and Stochastic User Equilibrium (DUE and SUE), namely that only routes with the minimum cost are used in DUE, and that all permitted routes are used in SUE regardless of their costs. We achieve this by combining the advantages of the two principles, namely the definition of unused routes in DUE and mis-perception in SUE, such that the resulting choice sets of used routes are equilibrated. Two model families are formulated to address this… Show more
“…The model for congestion used in this paper is presented in detail in two papers [17] [14] by the inventors. This work presents two different implementations, one in MATLAB and one in ArcGIS (with extra extensions for route choice modelling).…”
Emission of airborne pollutants and climate gasses from the transport sector is a growing problem, both in industrialised and developing countries. Planning of urban transport system is essential to minimise the environmental, health and economic impact of congestion in the transport system. To get accurate and timely information on traffic congestion, and by extension information on air pollution, near real time traffic models are needed. We present in this paper an implementation of the Restricted Stochastic User equilibrium model, that is capable to model congestions for very large Urban traffic systems, in less than an hour. The model is implemented in an open source database system, for easy interface with GIS resources and crowd sensed transportation data.
“…The model for congestion used in this paper is presented in detail in two papers [17] [14] by the inventors. This work presents two different implementations, one in MATLAB and one in ArcGIS (with extra extensions for route choice modelling).…”
Emission of airborne pollutants and climate gasses from the transport sector is a growing problem, both in industrialised and developing countries. Planning of urban transport system is essential to minimise the environmental, health and economic impact of congestion in the transport system. To get accurate and timely information on traffic congestion, and by extension information on air pollution, near real time traffic models are needed. We present in this paper an implementation of the Restricted Stochastic User equilibrium model, that is capable to model congestions for very large Urban traffic systems, in less than an hour. The model is implemented in an open source database system, for easy interface with GIS resources and crowd sensed transportation data.
“…Bringing together these elements, the equilibrium conditions are defined as (for details, see Watling et al, 2014):…”
Section: Restricted Stochastic User Equilibriummentioning
confidence: 99%
“…The RSUE conditions, unlike the DUE and SUE, do not provide uniqueness in link flows under the usual sufficient conditions, nor in path flows, as in general the set of used paths may not be uniquely defined by the RSUE conditions (see Watling et al, 2014). Consequently, a given linkflow allocation cannot be mapped to an RSUE path-flow solution via a one-to-one relation, and in any case, the RSUE conditions may be satisfied by multiple link-flow solutions.…”
Section: Solving In the Space Of Link-or Path Flowsmentioning
confidence: 99%
“…In Deterministic User Equilibrium (DUE) models, on the other hand, routes that are only slightly more costly expensive than the equilibrium cost are unused. In a companion paper (Watling et al, 2014) we argued why neither of these extremes seems particularly realistic, and went on to consider two alternative model families for equilibrating choice sets within an SUE framework.…”
Section: Introductionmentioning
confidence: 99%
“…In Watling et al (2014) we computed RSUE(min) and RSUE(max) solutions in small networks by enumerating all possible choice sets (i.e. all non-empty subsets of the available routes), but clearly such a strategy will be computationally infeasible for realistic-scale networks.…”
We propose a new class of path-based solution algorithms to solve the Restricted Stochastic User Equilibrium (RSUE), as introduced in Watling et al (2014). The class allows a flexible specification of how the choice sets are 'systematically' grown by considering congestion effects and how the flows are allocated among routes. The specification allows adapting traditional pathbased stochastic user equilibrium flow allocation methods (designed for pre-specified choice sets) to the generic solution algorithm. We also propose a cost transformation function and show that by using this we can, for certain Logit-type choice models, modify existing path-based Deterministic User Equilibrium solution methods to fit the RSUE solution algorithm. The transformation function also leads to a two-part relative gap measure for consistently monitoring convergence to a RSUE solution. Numerical tests are reported on two real-life cases, in which we explore convergence patterns and choice set composition and size, for alternative specifications of the RSUE solution algorithm.
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