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Author: Krstanoski N.

  • Testing of the synthetic model for transport demand and for forecast on vehicles, the case stady

    • Atanasova V.
    • Angelevska B.
    • Krstanoski N.
    Machines. Technologies. Materials., Vol. 13 (2019), Issue 1, pg(s) 41-44
    • Abstract
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    •  Article PDF

    Choosing a model, shaping and using a model represent a sensitive stage of the transport system planning process. Considering the fact that contemporary software packages exist, based on modern technology and long – term experience it is decided to rely on the software package PTV Vision VISUM, for forecast in the traffic in Bitola town. Synthetic model is designed by this software package, modeling is done on existing situation and model’s calibration. In this paper will be represented testing on the model for transport demand for the city of Bitola, their validation.

  • TECHNOLOGIES

    TRAFFIC PRODUCTION MODEL USING MULTIPLE REGRESSION ANALYSIS AND RADIAL BASIS FUNCTION NEURAL NETWORK

    • Atanasova V.
    • Duraku R.
    • Angjelevska B.
    • Krstanoski N.
    Machines. Technologies. Materials., Vol. 11 (2017), Issue 12, pg(s) 591-594
    • Abstract
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    •  Article PDF

    In order to establish this model, several independent variables of aggregate level and dependent variables have been taken into account for traffic production of a region for a period of 24 hours. The objective of this paper is to identify and estimate the main variables which are significant for development of a suitable model for forecasting the traffic production for Anamorava region. Establishment and assessment of a model will be done using techniques such as Multiple Regression Analysis (MRA) and Radial Basis Function Neural Network (RBFNN). The results gained according to these two techniques will be compared to find out differences. In this regard performance analysis through indicators R2, ME, RSME which are also used to show errors in forecasting. The results are in favour of RBFNN model because it performs better than MRA in forecasting traffic production.

  • TECHNOLOGIES

    CALCULATION OF TRANSPORT DEMAND BY APPLYING SOFTWARE PACKAGE PTV Vision VISUM

    • Atanasova V.
    • Angjelevska B.
    • Krstanoski N.
    • Cvetanovski I.
    Machines. Technologies. Materials., Vol. 11 (2017), Issue 3, pg(s) 134-136
    • Abstract
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    •  Article PDF

    The contemporary lifestyle leads to rapid increase of number of motorized traffic participants thus, there is a need of traffic planning. The task of any modern traffic planning is creating such road network that will be reviewed, safe, with appropriate capacity, economical in terms of exploitation costs and cost for building, also designed to be compatible with structure of the city. In the field of traffic engineering exist a wide range of software packages for different purposes, with different performance and quality. One of them is world leading software package for traffic analyzes and forecast of transport demand, PTV Vision VISUM.

    In this paper will be represented the steps of the methodology for calculation of transport demand, starting from setting the background, drawing the traffic network until the forecast using an appropriate software package PTV Vision – VISUM in which the base is standard four step transport demand model.

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