Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "traffic parameters" wg kryterium: Temat

  Lista filtrów
Wyrównaj
    Wyświetlanie 1-4 z 4
    Tytuł:
    Road traffic parameters measuring system with variable structure
    Autorzy:
    Burnos, P.
    Gajda, J.
    Marszałek, Z.
    Piwowar, P.
    Sroka, R.
    Stencel, M.
    Żegleń, T.
    Powiązania:
    https://bibliotekanauki.pl/articles/220542.pdf
    Data publikacji:
    2011
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    traffic parameters measurement
    weigh-in-motion systems
    vehicle classification
    Opis:
    Systems of road traffic parameters measurement play a key role in the process of road traffic control, its supervision as well as in gathering and processing information for statistical purposes. Expectations of users of such systems mainly concern automation and provision of measurement continuity, possibility of selection of the measured road traffic parameters and high accuracy along with reliability of obtained results. In order to meet the requirements set for such systems, at the Department of Instrumentation and Measurement of the AGH University of Science and Technology in Cracow a new prototype system of road traffic parameters measurement - Traffic-1 - has been constructed. The innovativeness of the solution is manifested in the structure of the system that can be modified by the user adequately to current measurement needs and in the used algorithms of signals processing. The work contains a brief description of the constructed system with particular focus on the used innovations that are the result of many years of research work of the designers.
    Źródło:
    Metrology and Measurement Systems; 2011, 18, 4; 659-666
    0860-8229
    Pojawia się w:
    Metrology and Measurement Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A new method of inductive sensors impedance measurement applied to the identification of vehicle parameters
    Autorzy:
    Marszałek, Z.
    Sroka, R.
    Stencel, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/221039.pdf
    Data publikacji:
    2011
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    inductive loop sensor
    substitute parameters
    magnetic profile
    measurement of traffic parameters
    Opis:
    Inductive loop sensors are widely used for detection of presence, measurement of parameters as well as classification of vehicles. Vehicle classification may be performed based on their magnetic profiles. The magnetic profile is a signal which is proportional to the resultant of an impedance change of the sensor, caused by the measured object (the changes are minor - of the order of 1%). Generator and bridge circuits are most commonly used as conditioning circuits for such sensors. As a result we can obtain one output signal proportional to total changes of sensor parameters (R and L). In this paper, a modified bridge circuit that allows independent measurement of the components (R and L) of the sensor's impedance, has been proposed. With that provided, it is possible to receive broader information on the object, which allows higher classification resolution. This paper provides the concept of a circuit, model testing results, processing algorithms used and the test results of a real circuit.
    Źródło:
    Metrology and Measurement Systems; 2011, 18, 1; 69-76
    0860-8229
    Pojawia się w:
    Metrology and Measurement Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Estimation of the bus delay at the stopping point on the base of traffic parameters
    Autorzy:
    Horbachov, P.
    Naumov, V.
    Kolii, O.
    Powiązania:
    https://bibliotekanauki.pl/articles/223852.pdf
    Data publikacji:
    2015
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    urban transport
    traffic parameters
    time delays
    mathematical model
    stopping point
    transport miejski
    parametry ruchu
    opóźnienia czasowe
    model matematyczny
    punkt zatrzymania
    Opis:
    Contemporary methods of spatial planning of urban transport systems provide for designers enough opportunities in selecting the placement of stopping points for public transport. However in every city there exist very intense sections of the road network with a small width of the roadway. In these sections there is no opportunity to allocate special lanes for public transport. If the stop pockets on such street exist, there appear traffic conflicts when buses depart from the stopping point. Authors propose theoretical model for estimation of the bus delay at the stopping point on the base of traffic parameters. Use of the proposed model allows reducing amount of field surveys while grounding the decisions about rational variant of allocation of the bus stopping points. The paper describes some experimental results obtained with the use of the proposed model while field surveys at the most loaded streets in the central part of Kharkiv (Ukraine).
    Źródło:
    Archives of Transport; 2015, 35, 3; 15-25
    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
      Wyświetlanie 1-4 z 4

      Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies