The development of highway at Kurdistan in Iraq, requirement of road users is increasing. The key
problem is to design the asphalt pavement construction to ensure pavement performance. Evaluation of asphalt
pavement performance is very important method it concerned with quantitative and uncertain information. Fuzzy
Petri net (FPN), as one type of high level Petri net, has shown a lot of attention recently due to its sufficiency, for
knowledge representation and logic reasoning. In this paper we present an intuitive approach of FPN model for
asphalt pavement performance evaluation. The model is based on the theory of FPNs is used to describe a formal
model of knowledge representation for vague information of asphalt pavement (i.e. rut depth).The proposed approach
is to bring asphalt pavement performance evaluation within the powerful modeling method of FPN tools. The input
values in our model the surface thickness (ST), traffic count (TC) and age (A) can be formulated as uncertain fuzzy
tokens to determine the rut depth values at time instance (t+1). The FPN components and functions consist of some
types of fuzzy operators AND operator (MIN) and OR operator (MAX) of If-parts and Then-parts in fuzzy rules.