Study The Influence Of Information Grading On Day-to-day Route Choice Behavior Based On Simulation

As an important means to alleviate traffic problems, the intelligent transportationsystem(ITS) has aroused a widespread interest in the world, and it has been animportant market for the application of high-tech. The traffic information publishsystem is the core subsystems of the ITS. To provide users with timely, accurate andefficient traffic information is the key to realize the goal of the route guidance system.It will affect the utility of ITS that whether the information system could offer anaccurate travel plan. Research has been carried out to investigate the impact of trafficinformation on traffic flow. However, most studies currently focus on discussion ofthe way to publish information, while few discuss about the validity of theinformation.Travelers are published with detailed information such as flux or velocity in mostof the current studies. However, due to the constraint of accuracy, only qualitativeinformation which is divided into a few grades can be published to users in actual. Atthe same time, the traffic information publish system publishes real-time informationin actual, and studies have proven that it will be better with short-term forecastinginformation. But there’s disadvantage to publish with real-time information orforecasting information.This paper concentrates on the modeling of travelers’ day-to-day travel decisionsmaking and their perception of traffic information, and then studies travelers’ routechoice behavior under the condition of information grading. For the weakness ofpublishing with real-time information and forecasting information, the paperintroduces a strategy to enhance the information to accelerate the evolution of the roadnetwork to the random equilibrium. The results show that information grading canmake transportation systems reach stochastic equilibrium more quickly, at the cost ofdecline in the stability of the equilibrium. It also will accelerate the evolution of theroad network with enhanced information, and decline in the stability of theequilibrium is low. The strategy of information enhancing should adjust to the actualsituation. However, compared with the detailed information, the system shows lesssensitivity to information update cycle when grading information is published. It has certain reference value for the practical application of traffic information systems.