Abstract：For the research of the impacts of travellers’ adaptive behavior on traffic flow assignment under bounded rationality, the multi-agent model of route choice with interaction among travellers is established using cumulative prospect theory and cellular automaton, in which travellers are grouped into two types: risk lovers and risk averse. Travellers’ heterogeneous dynamic reference points and evolution rules are designed based on travel time reliability and the idea of cellular genetic algorithm, so travellers can dynamically adjust their budget of travel time according to environment. The new model is more in tune with travellers’ actual behavior. Then by combining multi-passengers’ evolution rule with method of successive average, the new traffic flow assignment is solved. The study found that (1) the new model inherited the characteristics of the traditional traffic flow assignment model; (2) proportions of travellers with different risk attitude and travellers’ information receiving degree are critical factors which affecting traffic flow assignment.
李雪岩, 李雪梅, 李学伟, 赵云, 邱荷婷. 基于动态参照点的多主体有限理性路径选择模型[J]. 复杂系统与复杂性科学, 2016, 13(2): 27-35.
LI Xueyan, LI Xuemei, LI Xuewei, ZHAO Yun, QIU Heting. Dynamic Reference Points based Bounded Rational Multi-Agent Model of Route Choice[J]. Complex Systems and Complexity Science, 2016, 13(2): 27-35.
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