Author: Kocarev L.

  • MIXED TRAFFIC WITH DIFFERENT PERCENTAGE RATES OF ELECTRIC VEHICLES AND ITS ENVIRONMENTAL INFLUENCE IN URBAN AREAS

    Machines. Technologies. Materials., Vol. 10 (2016), Issue 3, pg(s) 38-41

    The development of high power electronics, improvement of existing and emerging of new battery technologies and optimization of electric motors over the last decade are some of the issues that have raised the interest in electric vehicles. Based solely on tank to wheel analyses, electric vehicles are regarded as zero emission vehicles. Regarding these facts, the research presented in this paper is focused on mixed traffic with different percentage rates of electric vehicles and its environmental influence in urban areas. A model of a mixed traffic stream comprised of conventional and electric vehicles was built upon a microscopic single lane urban traffic simulator.

    Through number of parallel simulations of solely conventional and mixed traffic stream and analysis of the results, we have evaluated the influence that certain presence rates of electric vehicles in the mixed traffic stream have on the exhaust emission. The results that we have obtained are constrained by the assumption that the electric energy used by the electric vehicles originates from renewable energy sources.

  • ACTUAL ACCELERATION, VELOCITY AND TRAVELED DISTANCE PROFILES OF VEHICLES IN URBAN ENVIRONMENT AS DOMINANT MICROSCOPIC TRAFFIC FLOW PARAMETERS

    Machines. Technologies. Materials., Vol. 9 (2015), Issue 10, pg(s) 44-2

    In this paper we have presented a methodology used to determine actual acceleration, velocity and traveled distance profiles of vehicles of different categories in urban environment, as dominant microscopic traffic flow parameters. The tests have been done on representative arterial road in the city of Skopje. Within a period of one month, we have been observing the traffic on the subject arterial road and have determined the average traffic flow during different day periods. The structure of the traffic flow has also been analyzed. In the experiment we have used a probe vehicle equipped with adequate measuring system to follow more than 130 vehicles of different categories on the observed arterial road, imitating i.e. reproducing their behavior as much as possible. The final goal to determine the domains of these microscopic traffic flow parameters in specific velocity intervals, regarding different vehicle categories was reached. These results have shown to be very useful as input parameters in the single lane urban traffic flow simulator that we have developed.