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. How the traffic flow is changed for different density and different discrete degree is researched and the influence of the density of traffic flow and the discrete of following-velocity on the chaos of traffic flow is analyzed in different values named approximate entropy and statistical complexity, which are changed as the variable value.
Yin, X. and Zuo, D., 2020. Fault early warning method of marine transport freighter based on fuzzy comprehensive evaluation. In: Yang, Y.; Mi, C.; Zhao, L., and Lam, S. (eds.), Global Topics and New Trends in Coastal Research: Port, Coastal and Ocean Engineering. Journal of Coastal Research, Special Issue No. 103, pp. 709–713. Coconut Creek (Florida), ISSN 0749-0208.Failure of marine transportation freight can cause significant economic damage, and timely warning of its failure can reduce the risk. Therefore, a fuzzy comprehensive evaluation method for marine transportation freighter failure early warning method is proposed. Summarize the organization procedures and technical procedures for the identification of hazard sources, and based on a comprehensive analysis of the dangerous factors in the storage and transportation process of the oil port cargo ship, excavate and analyze the hazard factors in the safe production of the oil port. Identification of important hazards; Based on the identification of the hazard source, the storage and transportation system is comprehensively and systematically divided, and the fuzzy comprehensive evaluation method is used to build a safety evaluation model based on the berthing operation process of the oil tanker, the tank farm area and the personnel, to make the overall safety of the storage and transportation process of the oil port cargo ship. Judgment of the situation, the establishment of an early warning model for the storage and transportation of oil terminals. The experiment proves that the proposed method is more complete in fault detection of marine freighters and has higher practical applicability.
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 established to evaluate the probability of Rear-end accident, according to the theory named ANFIS, whose input are the headway distance, velocity of the following vehicle, the difference of the leading and following vehicle and the non-response probability, whose output is the probability of Rear-end accidents. The example shown in the paper could testify that the relationship of the outputs and the inputs got by the model are correct, and the model advanced could assess the risk degree of Rear-end accidence.
Among theses dynamic traffic assignment models, the processing of real-time traffic information and the feature of multi-user, stochastic demand the models response rapidly to the changing condition. Traditionally algorithm assignment the traffic flow based on the average network condition, can't reflect the changing of the traffic. This algorithm the paper inferred dynamic assignment the traffic based on the real-time information acquired from the advance traffic device, the result indicate the network equilibrium nicely.
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 that the iterations of ICFCM algorithm is reduced and the results is better than before.
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 vehiclespsila max-limited speed for work zone of highway is discussed according to driverspsila information processing ability. Considered there are large and small two kinds of vehicles in the case, samples of different width and length of work zone are given to testify the max-limited speed value, which is changed along with the geometrical shape of work zone. And result of the max-limited speed value of different vehicles is dissimilar, thus the method of max-limited speed based on information processing is feasible.
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 chaos is researched. And the influence of the density of traffic flow and the discrete of following-velocity on the chaos of traffic flow is analyzed in different values named approximate entropy and statistical complexity, which are changed as the mixed proportionality factor.
In this paper, the flux-regulation capability of a 12-stator-slot/10-rotor-pole hybrid excitation flux-switching (HEFS) machine with three types of magnet materials, namely Ferrite, SmCo and NdFeB, are evaluated based on finite element analysis. Due to the unique constrained dimensions between the magnets and field windings slots as well as the saturation effect, reasonable matches between the magnets dimensions and field slot area are investigated, which supply a reference for the design of the relative new HEFS machine adopting different materials. The predicted results indicate that for Ferrite, an excellent flux-regulation capability can be achieved and the airgap flux-density can be modulated in a wide range, while in the cases of SmCo and NdFeB, the regulation ranges are limited with the current field-winding topology and the configurations for the magnets and field windings are restricted.
Based on the vector control system of permanent magnet synchronous motor (PMSM), an integral Variable Structure Control (VSC) is designed in this paper through the application of variable structure control theory with sliding mode. Furthermore, by means of Matlab / Simulink, a simulation analysis on the control structure is performed to examine the effects of different parameters on the system performance. In view of the defect that a VSC would vibrate with high frequency around the sliding-mode origin, this paper introduces a method which integrates traditional PID with VSC for an improvement of the stability of the control system.
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