Modeling And Simulation Of Driving Behavior Based On Cognitive Activity Chain

Intelligent Transportation Systems (ITS) is an open stochastic huge system, which is composed of human, vehicle, road and environment (namely, four elements in transportation, FET). Many subsystems of ITS, such as ATMS (Advanced Traffic Management Systems), ATIS (Advanced Traveler Information Systems) and AVCSS (Advanced Vehicle Control and Safety Systems), are related to the human-vehicle unit and consider traffic flow as the main subject investigated. AVCSS is also called IVDS (Intelligent Vehicle Driving Systems), which includes VSADS (Vehicle Safety Assistant Driving Systems) and VADS (Vehicle Automatic Driving Systems). With the integrated cognitive activity and the cooperative operation capability, driver is an information manager and decision maker in road traffic system, which has the self-adapted and self-learning capability of information processing and feedback, what is more, driver plays an important role in controlling FET. Study of driving behavior is becoming an important content of realizing ITS, as well as the theory basis of simulating the microscopic traffic flow. So researches on the self-organized evolvement rules of traffic system should be focused on the driving behavior characteristics, and FET also should be considered as a whole system.According to the demands of microscopic traffic flow simulation modeling and realization of IVDS by simulation, based on the driving behavior characteristics and driver cognitive psychology, the psycho-physical integrated cognitive activity chain is studied under the stimulus of multi-resource information. According to the similarity between the control process of IVDS and the integrated cognitive process of drivers, the decision mechanism of different driving behavior modes and the operation mechanism of different vehicle running modes, as well as the driver sequential reaction mechanism are all discussed in this paper. Finally, the Integrated Cognitive Sequential Activity Model (ICSAM) is applied in the freeway lane control simulation system. The simulation results show that, the driving behavior described by ICSAM is more realistic and effective than that described by the existed behavior models which only consider the car-following and lane-changing behaviors. The theory basis can be provided for the study of the microscopic traffic flow and the realization of ITS by simulation.