[Purposes]The paper explored the problem of green multimodal transportation route optimization under mixed uncertainties of the transport time, transit time,waiting time and freight damage rate to provide theoretical basis for green multimodal transport route decision. [Methods]Based on the consideration of carbon emission and noise pollution in the transport process,aiming to minimize transportation cost, transportation time,carbon emission, noise pollution and cargo damage, a green multimodal transportation route optimization model under uncertainties was established, and the uncertain parameters were processed by extending the model to fuzzy chance-constrained model and robust optimization model. Programming with MATLAB and calling CPLEX to solve the example,the multi-modal transportation route optimization scheme was obtained. The sensitivity of the confi- dence level was analyzed and the robust solution was compared with the optimal solution under certainties to verify the robustness of the model. [Findings]The comparison between calculation results of the optimization scheme and the optimal values of the five objective functions shows that the relative distances between the calculation results of the optimal transport scheme and the optimal values of the objective functions are 0.0964, 0.0271, 0.1946, 0.0184 and 0.0327 respectively, namely, the calculation results are close to the optimal values. [Conclusions]The model proposed in the paper can reduce the decision- making risk and provide reasonable and effective basis for decision-making.