Two Variables Algorithms for Solving the Stochastic Equilibrium Assignment with Variable Demand: Performance Analysis and Effects of Path Choice Models
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- 作者：Giulio Erberto Cantarella ; Stefano de Luca ; Massimo Di Gangi ; Roberta Di Pace
- 关键词：traffic assignment ; equilibrium approach ; variable demand ; MSA algorithms ; two variables algorithm
- 刊名：Procedia - Social and Behavioral Sciences
- 出版年：2013
- 出版时间：10 October, 2013
- 年：2013
- 卷：87
- 期：Complete
- 页码：177-192
- 全文大小：346 K
文摘
In this paper a general fixed-point approach dealing with multi-user (stochastic) equilibrium assignment with variable demand is proposed. The main focus is on (i) the implementation and comparison of different algorithm solutions based on successive averages methods calculated on one (arc flows, arc costs) and on two variables (arc flows and path satisfaction; arc costs and demand flows); (ii) the effects of algorithm efficiency on different path choice models and/or travel demand choice models.
In terms of the best performing algorithmic solution, the effects of different path choice models, such as Multinomial Logit model, C-Logit model and Multinomial Probit model were implemented, and algorithmic efficiency was investigated w.r.t. a real network.