Dynamic traveling salesman problem with deadline based on traveler´s risk attitude

In this paper we take dynamic traveling salesman problem with deadline based on traveler´s risk attitude (DTSPD_TRA) as an example to show Behavioral Operational Research (BOR) in advancing the practice of OR. We present the optimal tour model based on the cumulative prospective theory (CPT), where utility functions are nonlinear in probability and thus the salesman´s flexible attitude toward risk in a real-time traffic network can be captured. Finally, a numerical example is presented to indicate the value of considering the salesman´s risk attitude for the optimal tour determination. The optimal tour is different for the same deadline based on expected utility theory (EU) and CPT.