Faculty of Mechanical Engineering

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Author: search.filters.author.Igor Gjurkov

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    COMPARATIVE ANALYSIS OF CAR FOLLOWING MODELS BASED ON DRIVING STRATEGIES USING SIMULATION APPROACH
    (Mobility & Vehicle Mechanics International Journal for Vehicle Mechanics , Engines and Transportation Systems, 2018)
    Vase Jordanoska
    ;
    Igor Gjurkov
    ;
    Darko Danev
    Transportation and traffic affect all the aspects of everyday life. To better understand traffic dynamics traffic models are developed. On microscopic level, car-following models are developed and improved during long period of time. They are used in traffic simulation tools or are the basis for operation in some advanced vehicle systems. Car-following models describe traffic dynamics through movement of individual vehicle-driver units. This paper compares Gipps model and Intelligent Driver Model (IDM) as car-following models based on driving strategies. These models are derived based on assumptions such as keeping safe distance from the leading vehicle, driving at a desired speed and producing accelerations within a comfortable range. The models are implemented and simulated in MATLAB environment and the results are discussed in terms of the ability to reproduce real driving behaviour in car following scenarios.
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    COMPARATIVE ANALYSIS OF CAR FOLLOWING MODELS BASED ON DRIVING STRATEGIES USING SIMULATION APPROACH
    (MOBILITY & VEHICLE MECHANICS International Journal for Vehicle Mechanics , Engines and Transportation Systems, 2018)
    Vase Jordanoska
    ;
    Igor Gjurkov
    ;
    Darko Danev
    Transportation and traffic affect all the aspects of everyday life. To better understand traffic dynamics traffic models are developed. On microscopic level, carfollowing models are developed and improved during long period of time. They are used in traffic simulation tools or are the basis for operation in some advanced vehicle systems. Carfollowing models describe traffic dynamics through movement of individual vehicle-driver units. This paper compares Gipps model and Intelligent Driver Model (IDM) as carfollowing models based on driving strategies. These models are derived based on assumptions such as keeping safe distance from the leading vehicle, driving at a desired speed and producing accelerations within a comfortable range. The models are implemented and simulated in MATLAB environment and the results are discussed in terms of the ability to reproduce real driving behaviour in car following scenarios.
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    EVALUATION METHODOLOGY OF DESIGN PARAMETERS INFLUENCE TO THE BRAKING PROCESS OF PASSENGER CAR-TRAILER COMBINATION
    (Proceedings of 24th JUMV International Automotive Conference Science & Motor Vehicles, 2013)
    Darko Danev
    ;
    Milan Kjosevski
    ;
    Igor Gjurkov
    ;
    Vase Jordanoska
    In contemporary traffic, the need of movement for various forms of engagement between the passenger vehicle and the trailer becomes more intensive and emphasized. In certain conditions, in this engagement it may come to non-conformity in relation to the acceleration and braking characteristics of the combination because of design reasons. Therefore, efforts are made to achieve optimal braking performance, steering characteristics and stability through design measures and other engagement constrains of the vehicle combination. Considering the aforementioned, it all started from the suitability to determine the evaluation methodology on the impact of certain design factors to the passenger vehicle - trailer combination behavior in the braking process.