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    Wyświetlanie 1-14 z 14
    Tytuł:
    Performance prediction of centrifugal pumps with CFD-tools
    Autorzy:
    Dick, E.
    Vierendeels, J.
    Serbruyns, S.
    Vande Voorde, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/1967637.pdf
    Data publikacji:
    2001
    Wydawca:
    Politechnika Gdańska
    Tematy:
    centrifugal pumps
    CFD analysis
    performance prediction
    Opis:
    The CFD code FLUENT, version 5.4, has been used for the flow analysis of two test pumps of end-suction volute type: one of low specific speed and one of medium specific speed. For both, head as a function of flow rate for constant rotational speed is known from experiments. FLUENT provides three calculation methods for analysis of turbomachinery flows: the multiple reference frame method (MRF), the mixing plane method (MP) and the sliding mesh method (SM). In all three methods, the flow in the rotor is calculated in a rotating reference frame, while the flow in the stator is calculated in an absolute reference frame. In the MRF and MP methods steady flow equations are solved, while in the SM method, unsteady flow equations are solved. The SM method does not introduce physical approximations. The steady methods approximate the unsteady interaction between rotor and stator. The cost of the unsteady method is, however, typically 30 to 50 times higher than the cost of the steady methods. It is found that the MRF and MP methods lead to completely erroneous flow field predictions for flows far away from the best efficiency point. This makes the steady methods useless for general performance prediction.
    Źródło:
    TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2001, 5, 4; 579-594
    1428-6394
    Pojawia się w:
    TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Determination of influence of internal surface roughness of a fan rotor onto its performance parameters
    Autorzy:
    Fortuna, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/175530.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    centrifugal fans
    CFD simulation
    fan performance prediction
    surface roughness of rotor
    Opis:
    Computional fluid dynamics study and experimental test using the standard methods on flow characteristics of the centrifugal fan, have been presented in this paper. This investigation was performed to determine the influence of internal surface roughness of fan rotor onto its performance parameters. The testing results are presented in form of graphs showing the efficiency, pressure and power in function of flow.
    Źródło:
    Transactions of the Institute of Fluid-Flow Machinery; 2014, 126; 111-121
    0079-3205
    Pojawia się w:
    Transactions of the Institute of Fluid-Flow Machinery
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Analyzing and forecasting the performance of water drive gas reservoirs
    Autorzy:
    Lupu, Diana-Andreea
    Ştefănescu, Dan-Paul
    Foidaş, Ion
    Powiązania:
    https://bibliotekanauki.pl/articles/298653.pdf
    Data publikacji:
    2019
    Wydawca:
    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
    Tematy:
    natural gas reservoirs
    recovery factor
    water drive mechanism
    Fetkovich aquifer model
    performance prediction
    Opis:
    The manner of estimating water drive gas reservoir recovery can vary considerably. Several mathematical models have been developed for estimating water influx in petroleum industry, but the current paper will address the application of Fetkovich aquifer model to predict the gas reservoir performance considering the pressure changes that gradually occur within the aquifer and between the aquifer and reservoir. The applicability of this model has proven to be extremely useful in estimation of initial gas resources, aquifer volume and its parameters, confirming the producing mechanism but also forecasting the production performance of the gas reservoir. The authors will highlight through some case studies, the importance of the water influx analysis and prediction, in particular for natural gas reservoirs, which subsequently allows for adequate planning in optimizing the reserves’ recovery.
    Źródło:
    AGH Drilling, Oil, Gas; 2019, 36, 1; 143-159
    2299-4157
    2300-7052
    Pojawia się w:
    AGH Drilling, Oil, Gas
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Calm water performance of hard-chine vessels in semi-planing and planing regimes
    Autorzy:
    Ghadimi, P.
    Tavakoli, S.
    Dashtimanesh, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/259591.pdf
    Data publikacji:
    2016
    Wydawca:
    Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
    Tematy:
    hard-chine vessels
    planing and semi-planing regimes
    performance prediction
    2D+T theory
    Opis:
    In the current paper, a mathematical model is developed for performance prediction of hard-chin boats which can be used in both semi-planing and planing regimes. The proposed model bases on the 2D+T theory and implements pressure distributions over the length of the hull in order to compute the forces. To determine the forces in the semiplaning range, a function is proposed for the non-dimensional length at which the transom effect appears. Three drag components, which are: frictional drag, induced drag, and spray drag, are considered in the computations performed using an iterative method to satisfy two equilibrium equations. The validity of the proposed method is verified by comparing the predicted trim angle and resistance against the available experimental data. Based on this comparison, it is observed that the proposed method reveals satisfying accuracy in both semi-planing and planing regimes. The method is then used to study variation of hydrodynamic and hydrostatic forces as the hull makes a transition from the semi-planing regime to the planing regime. In addition, different components of the resistance are analyzed.
    Źródło:
    Polish Maritime Research; 2016, 4; 23-45
    1233-2585
    Pojawia się w:
    Polish Maritime Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Prediction of Mechanical Properties of Woven Fabrics by ANN
    Autorzy:
    Elkateb, Sherien N.
    Powiązania:
    https://bibliotekanauki.pl/articles/2171977.pdf
    Data publikacji:
    2022
    Wydawca:
    Sieć Badawcza Łukasiewicz - Instytut Biopolimerów i Włókien Chemicznych
    Tematy:
    ANN
    artificial neural network
    mechanical properties
    prediction performance
    modelling
    woven fabric
    Opis:
    This study aims to obtain an accurate prediction model of mechanical properties of woven fabric to achieve customer satisfaction. Samples of plain woven fabric were produced from different yarn counts and blend ratios of cotton and polyester of weft yarn at different weft densities. Mechanical properties such as tensile strength, bending stiffness and elongation% in both the warp and weft directions were tested. The prediction model was based on Artificial Neural Networks (ANNs). For each model, thirty-nine samples were used for training and fifteen for testing prediction performance. Findings indicated that the ANN achieved a perfect performance in predicting all properties.
    Źródło:
    Fibres & Textiles in Eastern Europe; 2022, 4 (151); 54--59
    1230-3666
    2300-7354
    Pojawia się w:
    Fibres & Textiles in Eastern Europe
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A universal model to predict roadheaders’ cutting performance
    Uniwersalny model do prognozowania postępu prac kombajnów do drążenia tuneli
    Autorzy:
    Ebrahimabadi, A.
    Goshtasbi, K.
    Shahriar, K.
    Seifabad, M. C.
    Powiązania:
    https://bibliotekanauki.pl/articles/219388.pdf
    Data publikacji:
    2012
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    prognozowanie postępu prac
    maszyna do drążenia tuneli
    drążenie tuneli
    wskaźnik kruchości skał
    kopalnia węgla w Tabas
    performance prediction
    roadheader
    tunneling
    Rock Mass Brittleness Index
    Tabas Coal Mine
    Opis:
    The paper intends to generate a universal model to predict the performance of roadheaders for all kinds of rock formations. In this regard, we first take into account the outcomes of previous attempts to explore the performance of roadheaders in Tabas Coal Mine project (the largest and fully mechanized coal mine in Iran). During those investigations, rock mass brittleness index (RMBI) was defined in order to relate the intact and rock mass characteristics to machine performance. The statistical analysis of data acquired from Tabas field demonstrated that RMBI was highly correlated to instantaneous cutting rate (ICR) of roadheaders (R² = 0.92). With the aim to construct a universal model for predicting the roadheader performance, we have now tried to establish a database consisting measured cutting rate of roadheaders as well as the data gathered from field studies of Tabas Coal Mine project and Besiktas, Kurucesme, Baltalimani, Eyup and Halic tunnels in Turkey. A broad modeling and analysis found a fair relationship, resulting in a new universal predictive model to predict the cutting rate of roadheaders with correlation of 0.73 (R² = 0.73). The application of local and universal models at Tabas Coal Mine showed a remarkable difference between measured and predicted ICR. The mean relative error of 0.359% was found with universal model but it represented lower value (mean relative error of 0.100%) while using local model. It can thus be concluded that instead of generating a universal model, separate localized models for different ground and machine conditions should be developed to improve the accuracy and reliability of the performance prediction models.
    W pracy podjęto próbę opracowania uniwersalnego modelu do prognozowania postępu prac kombajnów do drążenia tuneli we wszystkich rodzajach skał. W pierwszym etapie przeprowadzono analizę wyników badań w tym zakresie prowadzonych uprzednio w kopalni węgla Tabas (jest to największa i w pełni zmechanizowana kopalnia węgla w Iranie). W ramach badań zdefiniowano współczynnik kruchości skał (RMBI) w celu określenia zależności pomiędzy właściwościami nienaruszonych warstw skalnych a postępami pracy kombajnów. Analiza statystyczna danych uzyskanych w kopalni Tabas wykazała wysoki poziom korelacji pomiędzy wskaźnikiem RMBI a chwilową prędkością urabiania (ISC) kombajnów do drążenia tuneli (R2 = 0.92). Mając na celu opracowanie uniwersalnego modelu do prognozowania postępu prac kombajnów do drążenia tuneli, autorzy podjęli najpierw próbę stworzenia bazy danych obejmującej zmierzone prędkości urabiania oraz dane uzyskane w trakcie badań polowych w kopalni węgla Tabas, oraz z projektu drążenia tuneli w kopalniach w Besiktas, Kurucesme, Baltalimani, Eyup i Halic w Turcji. W wyniku modelowania i analiz znaleziono w miarę dokładną zależność, prowadzącą do stworzenia uniwersalnego modelu prognozowania prędkości urabiania przy użyciu kombajnów do drążenia tuneli, przy poziomie korelacji 0.73 (R2 = 0.73). Zastosowanie lokalnego i uniwersalnego modelu w kopalni węgla Tabas wykazało znaczne różnice pomiędzy mierzoną a prognozowaną chwilową prędkością urabiania. Średni błąd względny dla modelu uniwersalnego wyniósł 0.359%, w przypadku modelu lokalnego średni błąd względny był na poziomie 0.100%. Stąd też należy wnioskować, że dla poprawy wiarygodności i dokładności prognozowania zamiast tworzenia uniwersalnego modelu, zasadne jest opracowanie odrębnych modeli „lokalnych” uwzględniających konkretne uwarunkowania gruntowe oraz sprzętowe.
    Źródło:
    Archives of Mining Sciences; 2012, 57, 4; 1015-1026
    0860-7001
    Pojawia się w:
    Archives of Mining Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Metody wyznaczania geometrii i charakterystyk dyszy typu aerospike. Program "PM_Contour"
    Methods of contour design and performance prediction of an aerospike nozzle. Program "PM-contour"
    Autorzy:
    Folusiak, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/213465.pdf
    Data publikacji:
    2009
    Wydawca:
    Sieć Badawcza Łukasiewicz - Instytut Lotnictwa
    Tematy:
    dysza typu aerospike
    wyznaczanie geometrii dyszy typu aerospike
    wyznaczanie chgarakterystyk dyszy typu aerospike
    program "PM_contour"
    method of contour design of an aerospike nozzle
    method of performance prediction of an aerospike nozzle
    Opis:
    W poniższym artykule przedstawiono i krótko opisano algorytmy służące do wyznaczania geometrii dyszy aerospike. Przedstawiono również i dokładnie opisano jeden z wybranych algorytmów oraz program komputerowy napisany na jego podstawie.
    In the paper, existing contour design methods of an aerospike nozzle are presented and briefly described. Methods of contour design and performance prediction implemented in the PM contour program are described in details.
    Źródło:
    Prace Instytutu Lotnictwa; 2009, 3 (198); 105-115
    0509-6669
    2300-5408
    Pojawia się w:
    Prace Instytutu Lotnictwa
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Column flotation performance prediction: PCA, ANN and image analysis-based approaches
    Autorzy:
    Nakhaei, Fardis
    Irannajad, Mehdi
    Mohammadnejad, Sima
    Powiązania:
    https://bibliotekanauki.pl/articles/109518.pdf
    Data publikacji:
    2019
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    image analysis
    column flotation
    froth features
    performance
    prediction
    PCA
    ANN
    Opis:
    The flotation froth surface appearance includes remarkable information, which can be employed as a helpful index for the qualitative evaluation of the process efficiency. Image analysis is a practical technology for the sake of achieving process related information that can be employed in expert controllers in order to amend flotation performance. In this paper, the intelligent modelling of relationship between froth characteristics and the metallurgical performance in a pilot column flotation of iron ore was established. Column flotation tests were carried out at a wide range of operating conditions and the froth features along with the metallurgical performances were specified for each run. The artificial intelligence models suggested for the performance parameters prediction include (1) multi-layer back propagation neural network (BPNN), (2) hybrid BPNN with principal component analysis (PCA). The hybrid network was on the basis of the PCA employment in order to decrease the number of variables to be given as input for BPNN. The relationships between the froth features and metallurgical performance factors were successfully modelled via the use of the two methods. The simulation results revealed that the prediction precision of BPNN model on the basis of all the data was relatively higher than the estimation precision of BPNN based on PCA algorithm. The Hybrid BPNN model that was trained by the pre-processed database of measurements achieved from the PCA can be considered a robust method when training time is of paramount importance in objectives of proces control.
    Źródło:
    Physicochemical Problems of Mineral Processing; 2019, 55, 5; 1298-1310
    1643-1049
    2084-4735
    Pojawia się w:
    Physicochemical Problems of Mineral Processing
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Comparison between neural networks and multiple regression methods in metallurgical performance modeling of flotation column
    Autorzy:
    Nakhaei, F.
    Irannajad, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/110822.pdf
    Data publikacji:
    2013
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    metallurgical performance
    separation
    neural networks
    nonlinear regression
    prediction
    flotation column
    Opis:
    Artificial neural networks are relatively new computational tools which their inherent ability to learn and recognize highly non-linear and complex relationships makes them ideally suited in solving a wide range of complex real-world problems. In this research, different techniques (Linear regression, Non-linear regression, Back propagation neural network, Radial Basis Function for the estimation of Cu grade and recovery values in flotation column concentrate are studied. Modeling is performed based on 90 datasets at different operating conditions at Sarcheshmeh pilot plant, a copper concentrator in Iran, which include chemical reagents dosage, froth height, air and wash water flow rates, gas holdup and Cu grade in the rougher feed and flotation column feed, column tail and final concentrate streams. The results of models were also expressed and analyzed by intuitive graphics. The results indicated that a four-layer BP network gave the most accurate metallurgical performance prediction and all of the neural network models outperformed non-linear regression in the estimation process for the same set of data.
    Źródło:
    Physicochemical Problems of Mineral Processing; 2013, 49, 1; 255-266
    1643-1049
    2084-4735
    Pojawia się w:
    Physicochemical Problems of Mineral Processing
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Microservice-Oriented Workload Prediction Using Deep Learning
    Autorzy:
    Ştefan, Sebastian
    Niculescu, Virginia
    Powiązania:
    https://bibliotekanauki.pl/articles/2060924.pdf
    Data publikacji:
    2022
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    microservice
    web service
    workload prediction
    performance modeling
    microservice-applications
    microservice scaler
    Opis:
    Background: Service oriented architectures are becoming increasingly popular due to their flexibility and scalability which makes them a good fit for cloud deployments. Aim: This research aims to study how an efficient workload prediction mechanism for a practical proactive scaler, could be provided. Such a prediction mechanism is necessary since in order to fully take advantage of on-demand resources and reduce manual tuning, an auto-scaling, preferable predictive, approach is required, which means increasing or decreasing the number of deployed services according to the incoming workloads. Method: In order to achieve the goal, a workload prediction methodology that takes into account microservice concerns is proposed. Since, this should be based on a performant model for prediction, several deep learning algorithms were chosen to be analysed against the classical approaches from the recent research. Experiments have been conducted in order to identify the most appropriate prediction model. Results: The analysis emphasises very good results obtained using the MLP (MultiLayer Perceptron) model, which are better than those obtained with classical time series approaches, with a reduction of the mean error prediction of 49%, when using as data, two Wikipedia traces for 12 days and with two different time windows: 10 and 15min. Conclusion: The tests and the comparison analysis lead to the conclusion that considering the accuracy, but also the computational overhead and the time duration for prediction, MLP model qualifies as a reliable foundation for the development of proactive microservice scaler applications.
    Źródło:
    e-Informatica Software Engineering Journal; 2022, 16, 1; art. no. 220107
    1897-7979
    Pojawia się w:
    e-Informatica Software Engineering Journal
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Breeds influence on growth ability and predicting body weight from linear body measurements of ducks at various ages
    Autorzy:
    Ologbose, F. I.
    Benneth, H. N.
    Ajayi, F. O.
    Powiązania:
    https://bibliotekanauki.pl/articles/1031794.pdf
    Data publikacji:
    2020
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    Body weight prediction
    Duck Genotypes
    Growth performance
    Mallard
    Muscovy
    morphometric traits
    Opis:
    A total of one hundred and twenty ducklings (i. e. 60 Muscovy and 60 Mallard) were used for the study to evaluate the breeds effect on growth performance and prediction of body weight using linear body measurements of two breeds of ducks with the aid of General Linear Model and stepwise regression procedure of SPSS. Data on individual body weight (BW), body height (BH), body length (BL) breast circumference (BC), thigh length (TL), bill length (BIL), wing length (WL)and shank length (SL) of 120 ducks were collected on Muscovy and Mallard ducks and used to predict body weight at 4 and 8 weeks. The results showed that Muscovy (56.6t ± 6.7 – 1037.5 ± 30.29g) was significantly superior (P<0.05) to Mallard (51.8 ± 1.66 – 875.44 ± 70.30g) in body weight and in all the linear body measurements from day old to week 10. Individual body weight and linear body measurements was predicted at various ages (4 and 8 weeks) by genetic groups. The values of the coefficient of determination (R2) ranged from (88.6 – 97%) and (81.8 – 90.3%) in Muscovy and Mallard respectively at week 4. While, (R2) ranged from (58.7 – 92%) and 80.1 – 86.9%) in Muscovy and Mallard respectively at week 8. Since linear body measurements that can readily predict body weight without ducks being slaughtered, it is therefore, highly desirable as it will ensure the selection of animals that will reach market weight and size at relatively faster rate. This will also serve as a tool for breeders in selecting animals destined for use as breeding stock. These Muscovy and Mallard can be improved by exploiting the principle of phenotypic plasticity to obtain strains to complement other breeds of duck. Muscovy can also be used to upgrade some other indigenous ducks for better performance in a systematic breeding program.
    Źródło:
    World News of Natural Sciences; 2020, 29, 3; 282-289
    2543-5426
    Pojawia się w:
    World News of Natural Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A blade design performance based off-design loss prediction method for axial flow compressors and cascades
    Autorzy:
    Wu, Dongrun
    Teng, Jinfang
    Qiang, Xiaoqing
    Yang, Zhong
    Powiązania:
    https://bibliotekanauki.pl/articles/281416.pdf
    Data publikacji:
    2019
    Wydawca:
    Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
    Tematy:
    blade design performance
    off-design loss
    prediction method
    axial flow compressor
    cascade
    Opis:
    A series of compressor and cascade test recordings are studied to investigate the off-design loss prediction method. The blade design performance is used to predict the off-design loss changing rate at all operating conditions through analytical derivations and statistical correlation studies. The linear correlation between the incidence and a non-dimensional blade loading factor is the foundation of the prediction method. The off-design incidence is normalized using the off-design blade loading factor for different series of blade designs. An analytical method is introduced to predict the off-design blade loading factor based on design parameters and linear correlation. The changing rate of the off-design loss against the blade loading factor is empirically given through statistical analysis. In application, the prediction method can be used to demonstrate the design space of the off-design incidence for a blade series. The modification of the endwall and the rotor tip loss is recommended to give a more accurate prediction in those regions.
    Źródło:
    Journal of Theoretical and Applied Mechanics; 2019, 57, 4; 973-985
    1429-2955
    Pojawia się w:
    Journal of Theoretical and Applied Mechanics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Process of market strategy optimization using distributed computing systems
    Autorzy:
    Nowicki, W.
    Bera, A.
    Błaszyński, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/407280.pdf
    Data publikacji:
    2015
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    economic systems
    financial system
    moving average models
    optimization problems
    performance analysis
    prediction methods
    prediction problems
    project management
    work organization
    Opis:
    If market repeatability is assumed, it is possible with some real probability to deduct short term market changes by making some calculations. The algorithm, based on logical and statistically reasonable scheme to make decisions about opening or closing position on a market, is called an automated strategy. Due to market volatility, all parameters are changing from time to time, so there is need to constantly optimize them. This article describes a team organization process when researching market strategies. Individual team members are merged into small groups, according to their responsibilities. The team members perform data processing tasks through a cascade organization, providing solutions to speed up work related to the use of remote computing resources. They also work out how to store results in a suitable way, according to the type of task, and facilitate the publication of a large amount of results.
    Źródło:
    Management and Production Engineering Review; 2015, 6, 4; 87-93
    2080-8208
    2082-1344
    Pojawia się w:
    Management and Production Engineering Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Evaluating the safety performance of roundabouts
    Autorzy:
    Alshannaq, Mo'ath
    Imam, Rana
    Powiązania:
    https://bibliotekanauki.pl/articles/1841208.pdf
    Data publikacji:
    2020
    Wydawca:
    Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
    Tematy:
    operational model
    accident prediction model
    roundabouts evaluation
    roundabouts safety performance
    model operacyjny
    model przewidywania wypadku
    ocena ronda
    wydajność bezpieczeństwa na rondach
    Opis:
    The use of roundabouts is well recognized for sustaining an efficient and safe intersection. However, the safety results may vary based on the prevailing conditions. Therefore, this study assesses the safety performance of roundabouts in Jordan. This study developed a predictive model by collecting and analyzing all accident records of 12 major urban roundabouts in the country over 3 years. For developing the model, this study employed an accident frequency analysis. The model calculated the rate of accidents and incorporated the geometric and operational characteristics of roundabouts. This was followed by ranking the safety performance of the roundabouts. It was concluded that driver behavior of violating the traffic rules, lack of clear lane markings in the circulating area and inadequate signage at the roundabouts entries are the main causes of roundabout accidents. The research recommends including the developed predictive model in future traffic control and planning studies, for identifying hazardous locations, or for prioritizing roundabout improvements based on safety performance.
    Źródło:
    Transport Problems; 2020, 15, 1; 141-152
    1896-0596
    2300-861X
    Pojawia się w:
    Transport Problems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
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