Mixed Logit模型因能有效地避免其他离散选择模型的限制而被广泛地运用于交通领域,但由于它概率形式的非封闭性而导致了复杂的求解过程。从理论上证明利用Monte Carlo模拟方法求解Mixed Logit模型具有一定的合理性,并给出具体的求解步骤,可有效简化Mixed Logit模型的求解过程。
Mixed Logit model is widely used in transportation because it can avoid restrictions caused by other discrete choice models. But because of its probability estimated by simulation algorithm, this increases the complexity of Mixed Logit model. It has proved the validity of using Monte Carlo simulation to resolve Mixed Logit model, and detailed solution steps are presented, which can simplify the solution procedure of Mixed Logit model.