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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)
—The influence factors of reliability for drivers in different running stage are analyzed in the paper, firstly, based on Behavior-causing Theory. Then a new quantification method on transience reliability for drivers is advanced by a new definition " reliability degree " , whose error rate is calculated by the response time of drivers, and the influence(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)
The influence factors of freeway are analyzed in the paper according to the followings: drivers, vehicles, freeway and environments. And ICFCM algorithm is advanced to cluster the influence factors of freeway and get the influence level. In which, there are two improved way in ICFCM algorithm in initialize central and clustering effect. The results show(More)
The relationship between the velocity discreteness σ and the venture degree of vehicle Rear-end accidents on freeway and urban road is researched by NS model. We could get the followings as the results of simulation: Firstly, the value of global standard deviation of velocity on freeway is bigger than the one on urban road. Secondly, the value of(More)
Set a reasonable value of max-limited speed is an important part of traffic control. On the basis of systematically analyzing the information processing mode of driver and considered the performance differences of different vehicles, each kind of traffic information in work zone is classified and quantified and a calculation method of different(More)
To overcome the disadvantage of standard BP algorithm with slower learning rate and easily trapping into the local minima, a new method of weight values optimization based on homotopy algorithm is provided in this paper. Minimization of error function of BP neural networks was converted nonlinear equations about weight values vector firstly, and then fixed(More)
Air fuel ratio is a key index affecting power performance and fuel economy and exhaust emissions of the gasoline engine, whose accurate model is the foundation of accuracy air fuel ratio control. Taking HL495 engine as experimental device, a method of indenting air fuel ratio based on Elman neural network was provided in this paper. Experiment results show(More)
Based on NS model, a mixed traffic flow on single lane is simulated in the paper, which includes two-classification vehicles owing the different max-velocity. Take the one move 5 grids for one time as quick-vehicle, which is the results of aggressive behavior, such as overtaking and closely following behavior. And take the one which moves 3 grids for one(More)
In order to overcome air fuel ratio transmission delay influence on air fuel ratio control accuracy of gasoline engine during transient conditions, a new multi-step predictive model of air fuel ratio based on BP neural network was provided in this paper. Input vectors of neural network multi-step predictive model were determined by the mathematic model of(More)