Parameter estimation of logit route choice model by artificial bee colony algorithm

摘要: A modified Artificial Bee Colony Algorithm, which is an emergent intelligent swarm algorithm with strong optimization ability, proposed to estimate the parameters of Logit route choice mode. It can be used reduce computation and increase accuracy. The takes logarithmic likelihood function model as objective utility coefficients variables, are calibrated. characteristic variables given by survey data. Finally, obtained maximizing function. numerical example shows that method able rapidly effectively has a better performance compared traditional methods.