交通信息分级对日常路径选择的影响仿真研究

he impact of traffic information on the network has aroused a widespread interest in the academia. Travelers are published with detailed information such as flux or velocity in most of the current studies. However, due to the constraint of accuracy, only qualitative information which is divided into a few grades can be published to users in actual. To this point, this paper concentrates on the modeling of travelers' day-to-day travel decisions making and their perception of traffic information, and then studies travelers' route choice behavior under the condition of information grading. The results show that information grading can make transportation systems reach stochastic equilibrium more quickly, at the cost of decline in the stability of the equilibrium. However, compared with the detailed information, the system shows less sensitivity to information update cycle when grading information is published. It has certain reference value for the practical application of traffic information systems.