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    Wyświetlanie 1-3 z 3
    Tytuł:
    Effects of highway management on traffic flow characteristics
    Autorzy:
    Benes, J.
    Pribyl, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/393643.pdf
    Data publikacji:
    2014
    Wydawca:
    Polskie Stowarzyszenie Telematyki Transportu
    Tematy:
    highway management
    fundamental diagram
    highway capacity
    zarządzanie autostradą
    diagram fundamentalny
    przepustowość autostrady
    Opis:
    Traffic telematics systems have been used to increase road capacity as well as safety. On highways, this is accomplished with the usage of so called highway management systems, which among others through speed harmonization, ramp metering, informing about weather conditions or danger on road addresses these issues. Such system was recently implemented for the first time also in the Czech Republic. In this paper, the results from the first months of operation will be provided. First, the expected theoretical effects of such system on traffic flow characteristics will be provided and discussed. These effects follow the theoretical foundations of traffic flow theory, represented for example by fundamental diagram or changes to road capacity due to speed harmonization. Based on the measured data, the results of the particular implementation in the city of Prague, Czech Republic will be provided. The results will be discussed and compared to international experiences.
    Źródło:
    Archives of Transport System Telematics; 2014, 7, 2; 14-18
    1899-8208
    Pojawia się w:
    Archives of Transport System Telematics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Some aspects of Intelligent Transport System auditing
    Autorzy:
    Bazan, M.
    Bożek, M.
    Ciskowski, P.
    Halawa, K.
    Janiczek, T.
    Kozaczewski, P.
    Rusiecki, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/393760.pdf
    Data publikacji:
    2015
    Wydawca:
    Polskie Stowarzyszenie Telematyki Transportu
    Tematy:
    intelligent transportation
    system audit
    travel time prediction
    fundamental diagram
    inteligentny transport
    audit systemu
    przewidywanie czasu podróży
    diagram fundamentalny
    Opis:
    Nowadays, in urbanized areas one of the most important matters is to determine a priori the time of driving from one zone of the city to another at various times of the day. The problem of travel time prediction is crucial in Intelligent Transportation Systems. The solution to this problem is a foundation of any route guidance system that will redirect drivers to their target destination via routes that have a lighter traffic load and thus higher travel velocity. In this paper is present a concept of a statistical methodology, developed by the ArsNumerica Group, that enables a quantity audit a travel time prediction algorithm. The methodology assumes that we are given database records of vehicles recognized by their unique identifier as well as duration times for which the messages with the predicted travel time are displayed VMS. the second aspect of ITS auditing considered in this paper is a placement of video cameras to measure vehicle stream velocity. Inappropriate camera location results in the fact that the stream velocity measured by them has a low usefulness for travel time prediction.
    Źródło:
    Archives of Transport System Telematics; 2015, 8, 3; 3-8
    1899-8208
    Pojawia się w:
    Archives of Transport System Telematics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Feedforward feedback iterative learning control method for the multilayer boundaries of oversaturated intersections based on the macroscopic fundamental diagram.
    Autorzy:
    Lin, Xiaohui
    Xu, Jianmin
    Powiązania:
    https://bibliotekanauki.pl/articles/224037.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    traffic engineering
    oversaturated intersection
    multilayer boundary
    macroscopic fundamental diagram
    feedforward feedback
    iterative control
    inżynieria ruchu
    przesycone skrzyżowanie
    granica wielowarstwowa
    makroskopowy diagram fundamentalny
    sprzężenie zwrotne
    Opis:
    The feedback control based on the model and method of iterative learning control, which in turn is based on the macroscopic fundamental diagram (MFD), mostly belongs to the classification of single-layer boundary control method. However, the feedback control method has the problem of time delay. Therefore, a feed forward feedback iterative learning control (FFILC) method based on MFD of the multi-layer boundary of single-area oversaturated intersections is proposed. The FFILC method can improve the effectiveness of boundary control and avoid the time-delay problem of feedback control. Firstly, MFD theory is used to determine the MFD of the control area; the congestion zone and the transition zone of the control area are identified; and the two-layer boundary of the control area is determined. Then, the FFILC controllers are established at the two-layer boundary of the control area. When the control area enters into a congestion state, the control ratio of traffic flow in and out of the two-layer boundary is adjusted. The cumulative number of vehicles in the control area continues to approach the optimal cumulative number of vehicles, and it maintains high traffic efficiency with high flow rates. Finally, The actual road network is taken as the experimental area, and the road network simulation platform is built. The controller of the feedforward iterative learning control (FILC) is selected as the comparative controller and used to analyse the iterative effect of FFILC. Improvements in the use of traffic signal control indicators for the control area are analysed after the implementation of the FFILC method. Results show that the FFILC method considerably reduces the number of iterations, and it can effectively improve convergence speed and the use of traffic signal evaluation indicators for the control area.
    Źródło:
    Archives of Transport; 2020, 53, 1; 67-87
    0866-9546
    2300-8830
    Pojawia się w:
    Archives of Transport
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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