论文信息 - AN ENTROPY-BASED MODAL SPLIT MODEL

AN ENTROPY-BASED MODAL SPLIT MODEL

A mathematical programming model for modal split predictions based on entropy maximization is presented. The relationship between this type of entropy-based model and the more traditional logit-type models is clarified. The entropy model presented has been used to predict travel patterns in the Stockholm region and has been based on census and survey data. A balancing procedure has been used in the solution process. It is shown how additional information, in this case traffic count information, can be included in the model. Computational results and experiences are discussed.

Kurt Jörnsten | Jan T. Lundgren | K. Jörnsten | J. Lundgren

[1] L. Bregman. The relaxation method of finding the common point of convex sets and its application to the solution of problems in convex programming , 1967 .

[2] Alan Geoffrey Wilson,et al. Optimisation in locational and transport analysis , 1981 .

[3] Moshe Ben-Akiva,et al. Discrete Choice Analysis: Theory and Application to Travel Demand , 1985 .

[4] Alan Wilson,et al. A statistical theory of spatial distribution models , 1967 .

[5] M G Langdon. REVIEW OF MODAL SPLIT MODELS , 1982 .

[6] N. F. Stewart,et al. Bregman's balancing method , 1981 .

[7] M. G. Langdon,et al. Methods of determining choice probability in utility maximising multiple alternative models , 1984 .

[8] Sven Erlander,et al. Entropy in linear programs , 1981, Math. Program..

[9] A. Anas. Discrete choice theory, information theory and the multinomial logit and gravity models , 1983 .

[10] Å. Hallefjord,et al. GRAVITY MODELS WITH MULTIPLE OBJECTIVES. THEORY AND APPLICATIONS , 1986 .

[11] J. Weibull,et al. A minimum information principle: Theory and practice , 1977 .

[12] Alan Wilson,et al. Entropy in urban and regional modelling , 1972, Handbook on Entropy, Complexity and Spatial Dynamics.

[13] Sven Erlander,et al. Optimal Spatial Interaction and the Gravity Model , 1980 .