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In most existing literatures on Cournot game, game behaviour between players is based on the hypothesis that people are complete rationality. However, players' decisions are often affected by their behavioural characteristic and psychology preference. Traditional Cournot model also doesn't deal with ambiguous information. Based on rank-dependent utility theory, this paper develops an incomplete information Cournot game in an ambiguous decision environment, where the form of ambiguity is described by a set of fuzzy parameters, and behavioural pattern is reflected by means of emotional function in rank-dependent utility. Further, we investigate the Nash equilibrium quantity of each manufacture in this kind of fuzzy Cournot game with incomplete information. Finally, the proposed Cournot model is applied to a case study, and dynamic variation and sensitivity analysis of optimal quantity with respect to decision-maker's behaviour pattern are discussed in detailed, which illustrates that the proposed Cournot model is more reasonable than traditional Cournot model. [ABSTRACT FROM AUTHOR]

We present a dynamic stability and agility study of a pendulum-turn vehicle maneuver. Instead of optimizing the controlled inputs to mimic expert human driver performance, we focus on understanding the stability and agility performance of the vehicle motion using professional racing car driver testing data. We propose to use the rear side slip angle, rather than the vehicle mass center side slip angle, as one state variable to obtain the precise stable region. A hybrid physical/dynamic tire/road friction model is used to capture the dynamic friction force characteristics. We also introduce the use of vehicle lateral jerk and acceleration information as the agility metrics to compare maneuvering performance under the racing car driver and a typical human driver. The analysis and testing results show that during the pendulum-turn maneuvers, the professional driver operates the vehicle outside the stable regions of the vehicle dynamics to achieve superior agility performance than that under typical human driver control. Comparison results also show that the racing car driver outperforms in both the traveling time and the agility metrics. It is ongoing work to design a control strategy for autonomous aggressive maneuvers by using the new stability and agility results presented in this paper. [ABSTRACT FROM PUBLISHER]

From the perspective of complete vehicle control, a solution scheme for integrated longitudinal dynamics control is proposed. In respect of function, the control characteristics and their scopes of application of subsystems are linked together, realizing the optimization of overall performance; with regard to hardware, sophisticated sensors, controllers and actuators are integrated, and a modular on-board test platform is developed; as for software, a longitudinal dynamics coordinated controller is put forward based on hierarchical control architecture, and the control strategies of subsystems on bottom layer are fused effectively. Real vehicle tests are conducted and the results show that the integrated control system developed can avoid mutual interference among subsystems, further improving the comprehensive performance of vehicle in longitudinal movement. [ABSTRACT FROM AUTHOR]