Nowadays, micro-simulation is a common approach to study the behaviors of drivers in the road traffic. The main concern of most microscopic simulators is the network efficiency evaluation. The microsimulation approach relies on major models such as car following, lane changing and road crossing. Each of these models has a strong theoretical base, and corresponds to a specific road section and a specific driver's intention. Moreover, the micro-simulation approach can be used to investigate an accident or near accident situation. Some approaches tackle the individual behavior in these micro-simulations. For these approaches, a more detailed behavioral model, which is referred to the nanoscopic simulation, is required. In this paper, we focus on the road crossing behavior of drivers. Although various researches have been addressing this subject, existing approaches seem inadequate to simulate accurately drivers' behavior in the conflict area (the center of intersection) or in the crossroads exit. We are developing an active perception model following a nanoscopic approach, which will palliate this inadequacy. The aim of this paper is to make a qualitative comparison between our approach and the existing gap acceptance model. Our model allows to simulate the interaction between drivers at the center of intersection. Future work will consist in integrating the pedestrians in the road crossing scenario.
