000218683 001__ 218683
000218683 005__ 20180317094022.0
000218683 037__ $$aPOST_TALK
000218683 245__ $$a A new mathematical formulation to integrate supply and demand within a choice-based optimization framework
000218683 269__ $$a2016
000218683 260__ $$c2016
000218683 336__ $$aTalks
000218683 520__ $$a Discrete choice models are the state-of-the-art for the mathematical modeling of demand. Based on the concept of random utility, they are able to predict the choice behavior of individuals. However, these models are highly non linear and non convex in the variables of interest, and therefore difficult to be included in mixed linear optimization models. Furthermore, these models are of great importance in transportation revenue management systems. In this research, we propose a new mathematical modeling framework to include general random utility assumption inside discrete optimization framework. In order to tackle the non-linearity and non-convexity imposed by choice-models, we rely on simulation to capture the probabilistic nature of demand. Since the formulation has been designed to be linear, the price to pay is the high dimensionality of the problem. We propose an alternative formulation aiming at reducing the size of the problem. We have performed some preliminary experiments for small instances in order to compare the performances of the two models. Note that regardless from the implemented formulation, additional techniques such as decomposition methods may be required for more general instances.
000218683 700__ $$0249405$$aPacheco, Meritxell$$g260492
000218683 700__ $$0248180$$aSharif Azadeh, Shadi$$g245461
000218683 700__ $$0240563$$aBierlaire, Michel$$g118332
000218683 7112_ $$a 16th Swiss Transport Research Conference (STRC)$$c Monte Verità, Ascona, Switzerland$$dMay 18, 2016
000218683 8564_ $$s9665890$$uhttps://infoscience.epfl.ch/record/218683/files/Pacheco_STRC_2016.pdf$$yn/a$$zn/a
000218683 909CO $$ooai:infoscience.tind.io:218683$$pENAC$$ppresentation
000218683 909C0 $$0252123$$pTRANSP-OR$$xU11418
000218683 937__ $$aEPFL-TALK-218683
000218683 970__ $$aTALK-Pacheco_STRC_2016/TRANSP-OR
000218683 980__ $$aTALK