Details

Autor(en) / Beteiligte

• Cantarella, Giulio Erberto
• Cartenì, Armando
• de Luca, Stefano

Titel

Stochastic equilibrium assignment with variable demand: Theoretical and implementation issues

Ist Teil von

• European journal of operational research, 2015-03, Vol.241 (2), p.330-347

Ort / Verlag

Amsterdam: Elsevier B.V

Erscheinungsjahr

2015

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• •Internal approach algorithms significantly outperform external approach ones.•Internal algorithm efficiency is not affected by travel demand model parameters.•Restarting technique significantly increases the MSA efficiency.•Smoothing technique together with restarting technique let MSA-CA outperform MSA-FA.•Non-separable and asymmetric arc cost functions do not much affect algorithms efficiency. Recently, it has been pointed out that transport models should reflect all significant traveler choice behavior. In particular, trip generation, trip distribution, modal split as well as route choice should be modeled in a consistent process based on the equilibrium between transport supply and travel demand. In this paper a general fixed-point approach that allows dealing with multi-user stochastic equilibrium assignment with variable demand is presented. The main focus was on investigating the effectiveness of internal and external approaches and of different algorithmic specifications based on the method of successive averages within the internal approach. The vector demand function was assumed non-separable, non-symmetric cost functions were adopted and implementation issues, such updating step and convergence criterion, were investigated. In particular the aim was threefold: (i) compare the internal and the external approaches; (ii) investigate the effectiveness of different algorithmic specifications to solve the variable demand equilibrium assignment problem through the internal approach; (iii) investigate the incidence of the number of the links with non-separable and/or asymmetrical cost functions. The proposed analyses were carried out with respect to two real-scale urban networks regarding medium-size urban contexts in Italy.