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交通信息对路网交通的影响是学术界广泛关注的问题，目前在这类研究中，大多是假定向出行者发布流量或旅行速度等详细的信息数值.而在实际交通信息发布中，由于检测精度等限制，只能向用户提供分为若干个级别的定性信息.本文针对这一问题，对交通信息影响下出行者日常出行决策行为以及对交通信息的感知行为进行了建模，随后使用仿真手段研究了交通信息分级条件下出行者的日常路径选择行为.结果发现，发布分级信息能使交通系统更快地达到随机均衡状态，代价是均衡状态的稳定性有所下降.同时，与发布详细信息相比，发布分级信息时系统性能较少受到信息更新周期的影响，对交通信息系统的实际应用具有一定参考价值.

Simulation Study on Influence of Information Grading on Day-to-day Route Choice

The impact of traffic information on the network has aroused a widespread interest in the academia.Travelers are expected to get detailed information such as flux or velocity in most of the current studies.However,because of the constraint of detecting accuracy,only qualitative information which is divided into a few grades can be published to users in actual situation.Aiming at this,the paper develops a model of travelers’ day-to-day travel decisions making and their perception of traffic information.It 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 quickly,but with the cost of stability decline of the equilibrium.However,compared with the detailed information,the system has less sensitivity on information updating cycle when the grading information is published.It has certain reference value for the practical application of traffic information systems.