Abstract :

The stress of driving in heavy traffic has become a major issue during rush hour in most Chinese cities. There is a need to investigate the connection between drivers' attitudes and behaviors and traffic congestion since there is so little data available on this topic at the moment. Furthermore, the pressure-state-response (PSR) model is developed to characterize that connection, for short. Here, the PSR framework has a three-tiered logical structure that includes the traffic congestion environment, a shift in drivers' physiology, and a shift in drivers' behavior. Different types of drivers were assigned to drive in heavy traffic according to the PSR framework, and then the status of the traffic flow, the drivers' physiological, and the drivers' behavioral traits were assessed using the proper instruments. The parameters of the PSR framework are also determined by an analysis of the driver's visual features and lane-changing characteristics. PSR provides the required rational room and