Driver’s Route Choice Model and Traffic Guidance Strategy Based on Individual Preference

This paper introduces two types of preference, indifference threshold and induced information trust, establishes an update model of induced information trust, analyzes the feedback mechanism of individual preferences in path choice behavior, and establishes a basis based on individual preferences path selection learning behavior model. The traffic guidance strategy based on individual preference is designed, and the traffic system efficiency of the guidance strategy is studied with MATLAB simulation. Under the two types of traffic guidance strategies based on individual preferences, the four dimensions of traffic flow of each road segment, total travel time of the road network, the number of people on each path, and the results of the driver’s path selection, the simulation days increase and the indifference threshold increases. The results show that the traffic guidance strategy of individual preference can better optimize the allocation of traffic resources, evenly distribute traffic pressure, and improve travel efficiency.