A combined trip distribution and traffic assignment model under regret theory view

It is important to develop newly theoretical and practical approaches of studying various travel behaviors. The majority of route choice models assume that travelers are completely rational and always choose paths with the maximum expected utility or the minimum expected cost, which comes into conflict with bounded rational behavior in reality. Random regret minimization model has attracted scholars' attention for overcoming the drawbacks inherent in random utility maximization model. This paper proposes a combined trip distribution and traffic assignment model under the principle of random regret minimization. Numerical results from an example are presented to compare and explain the similarities and differences between the two models governed by random regret minimization and random utility maximization, respectively. It is shown that the proposed model under regret theory view could more realistically depict travelers' route choice behavior.