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System identification is the basis of designing control system, and it is very difficulty to identify the nonlinear system today. A method of fuzzy identification had been provided in reference 1, and another method of using neural networks to identify system had been provided in reference 2. In this paper, Author points out the disadvantages of those(More)
In the light of the conditions that the results of traditional criticality safety vehicle distance are hardly able to guarantee the safety in the sudden reaction of the current vehicle, through studying the conditions of traditional criticality safety distance, considering the impact of abnormal deceleration of the current vehicle on following vehicle, and(More)
  • Zhixiang Hou
  • 2007
In this paper a novel approach for nonlinear system identification is proposed based on adaptive particle swarm optimization. Particle swarm optimization is demonstrated as efficient global search method for complex surfaces, and in order to quick the convergence speed, an adaptive particle swarm optimization strategy was introduced. The proposed method(More)
Propose a fault diagnosis method which combines analytical redundancy with bond graph model for electrolytic high power rectifier system. Firstly, using the software 20-sim, the author builds a bond graph model of the system and established a diagnostic bond graph model through adding virtual sensor in bond graph model; then, according to the causal(More)
The improved P-2D HMM is introduced to the driving intentions identification, and the driving intentions identification model based on continuous P-2D HMM was estabLished to identify the driving intention. The vehicle space, speed and lateral acceleration were as inputs, the driving intentions as output. Predict the driving behavior at next period to(More)
Supposed the perception of traffic information and the controlling decision of vehicles are correct. The delay of controlling actions is researched in the paper, and the function of driver non-response probability is advanced. Based on the function, the timing curve of divers’ response is made. Then the risk model of Rear-ends accidents is(More)
Based on the NS Model, a mixed traffic flow on single lane is simulated in the paper, which includes two-classification vehicles owing the different max-velocity, and a chaos recognition algorithm based on composite feature is advanced. How the traffic flow is changed for different density and different discrete degree and which channel is the right way to(More)
Through researching at the traditional linear model of car-following, the paper have found it sensitivity is a fixed value, but in the actual process of driving a vehicle, Sensitivity of driver changes with stimulation. This paper set up a new vehicle-following model taking into account the different sensitivity. Through simulation analysis, results show(More)