Intelligent transportation system platform information guidance strategy and incentive mechanism design.

This article proposes a set of information guidance models and corresponding algorithms which are embedded in a traffic information guidance system. Through a systematic analysis, the following results were obtained. When vehicles have different degrees of rationality, it is better to use a differentiation strategy in terms of traffic rewards and punishments; in particular, in a situation in which the strength of interactions between vehicles is different, the platform can guide vehicles to reduce overall transport costs by changing the information of rewards and punishments. The related stability analysis verifies that the information induction can induce the behavioural state of vehicles to stabilize, and the targeted information induction can help the whole system to stabilize. Finally, based on these findings, the traffic inducement strategy of the platform is proposed under different road conditions. [ABSTRACT FROM AUTHOR]