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    Wyświetlanie 1-3 z 3
    Tytuł:
    Analysis of the influence on expressway safety of ramps
    Autorzy:
    Hu, J. J.
    Li, F.
    Han, B.
    Yao, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/224137.pdf
    Data publikacji:
    2017
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    expressway safety
    safety
    on and off ramp
    delay
    accidents occurrence probability
    droga ekspresowa
    bezpieczeństwo na drodze ekspresowej
    rampa włączania i wyłączania
    opóźnienie
    prawdopodobieństwo wystąpienia awarii
    Opis:
    As the very important parts of the expressway system, on and off ramps have a great effect on the operation effect of expressways. Once congestion occurs at on and off ramps, it will directly affect the safety of the expressway and vehicles. So this paper first analyzes the location design of on ramps, the length and the influences on the expressway running state of off ramp downstream traffic state, and establishes the expressway operation models based at on and off ramps. The expressway operation models include off ramp delay model, on ramp delay model, expressway delay model and side road delay model under the influence of the distance between on and off ramp and traffic volume. At the same time, the paper analyzes the connection between the traffic operation state and traffic safety, and establishes the expressway safety model based on congestion degree. Through simulation verification, the impact of on and off ramp on the security of the expressway is analyzed. In the simulation, safety rank division is simulated to verify and safety index of different safety ranks. Finally the paper concludes that the delay caused by traffic of the on and off ramps can decrease the safety of expressway.
    Źródło:
    Archives of Transport; 2017, 43, 3; 43-51
    0866-9546
    2300-8830
    Pojawia się w:
    Archives of Transport
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Traffic fatalities prediction based on support vector machine
    Autorzy:
    Li, T.
    Yang, Y.
    Wang, Y.
    Chen, C.
    Yao, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/223743.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    traffic accident
    support vector machine
    SVM
    particle swarm optimization (PSO)
    PSO
    prediction model
    optimal parameters
    wypadek drogowy
    Particle Swarm Optimization
    model prognostyczny
    optymalne parametry
    Opis:
    To effectively predict traffic fatalities and promote the friendly development of transportation, a prediction model of traffic fatalities is established based on support vector machine (SVM). As the prediction accuracy of SVM largely depends on the selection of parameters, Particle Swarm Optimization (PSO) is introduced to find the optimal parameters. In this paper, small sample and nonlinear data are used to predict fatalities of traffic accident. Traffic accident statistics data of China from 1981 to 2012 are chosen as experimental data. The input variables for predicting accident are highway mileage, vehicle number and population size while the output variables are traffic fatality. To verify the validity of the proposed prediction method, the back-propagation neural network (BPNN) prediction model and SVM prediction model are also used to predict the traffic fatalities. The results show that compared with BPNN prediction model and SVM model, the prediction model of traffic fatalities based on PSO-SVM has higher prediction precision and smaller errors. The model can be more effective to forecast the traffic fatalities. And the method using particle swarm optimization algorithm for parameter optimization of SVM is feasible and effective. In addition, this method avoids overcomes the problem of “over learning” in neural network training progress.
    Źródło:
    Archives of Transport; 2016, 39, 3; 21-30
    0866-9546
    2300-8830
    Pojawia się w:
    Archives of Transport
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Solution Growth of Well-Aligned ZnO Nanorods on Sapphire Substrate
    Autorzy:
    Jia, G.
    Hao, B.
    Lu, X.
    Wang, X.
    Li, Y.
    Yao, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/1399510.pdf
    Data publikacji:
    2013-07
    Wydawca:
    Polska Akademia Nauk. Instytut Fizyki PAN
    Tematy:
    68.37.Yz
    78.40.Fy
    68.55.J-
    Opis:
    Vertically well-aligned ZnO nanorods arrays were synthesized on sapphire substrates by chemical bath deposition. Those sapphire substrates were seeded to control the density and orientation of ZnO nanorods using sol-gel method. Well-aligned and uniformly distributed ZnO nanorods in a large scale were obtained with strongly (002) preferential orientation. The structural properties were characterized by X-ray diffraction spectrometer and morphological characteristics were analyzed by scanning electron microscopy, respectively. The ZnO nanorods are obvious hexangular wurtzite structure and preferentially oriented along the c-axis (002) and growth vertically to the substrates. The optical properties were further thoroughly studied. What is more, the influences of the strain between substrate and ZnO nanorods due to thickness of the ZnO seed-layer on the characteristics and optical properties of ZnO were also analyzed.
    Źródło:
    Acta Physica Polonica A; 2013, 124, 1; 74-77
    0587-4246
    1898-794X
    Pojawia się w:
    Acta Physica Polonica A
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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