Abstract: Currently, the tasks of emergency evacuation based on the flow theory have been studying extensively due to the increasing number of emergency situations, natural disasters, fires, terrorist attacks and other phenomena. However, the main issue of the evacuation simulation is the necessity to tackle dynamic environmental factors, such as road capacities and evacuation time parameters, as well as the fuzzy nature of the evacuation. Traffic delays have become ubiquitous during evacuation, whereas evacuation and rescue flows move in opposite directions. To address the aforementioned issues a method for the partial contraflow evacuation is examined to increase the total outbound capacity and reverse the arcs of the modelled network up to the required capacity. The main contribution to the paper is the proposal for the fuzzy lexicographic maximum dynamic evacuation according to the partial lane reversal strategy using multiple attribute group decision making method based on TOPSIS in intuitionistic fuzzy setting for ordering the terminals during evacuation. The main goal of the proposed algorithm is to transport the maximum number of aggrieved from origins to destinations that have different levels of priority due to the level of reachability, capacity of destination nodes, reliability (security) and total expenses. A case study is conducted to illustrate the proposed algorithm.