Abstract: The key problem for the traffic guidance is to determine the optimal induced path, and shunt vehicles as soon as possible, which can reduce the loss and impact caused by congestion. Currently, the problem facing the induced traffic system is the acceptance rate measuring whether the induced paths meet the traveler's needs. In this paper, we establish the principal-agent model of the manager-traveler by treating the manager as the principal and the traveler as the agent. The impact of the cost coefficient, the incentive coefficient, the risk aversion degree, the effort cost coefficient and the uncertainty of the output on the results are also discussed. A numerical experiment was carried out to analyze the impact on the acceptance rate of route guidance. The study shows that managers should make as many travelers in the region accept route guidance as possible with low cost and pertinence so as to achieve a high efficiency of the policy and to improve the acceptance rate of route guidance.

Key words: traffic guidance, induced acceptance rate, principal-agent, transfer