Global Journal of Science Frontier Research, H: Environment & Earth Science, Volume 22 Issue 1

a) Satellite view of intersection in 2010 b) Satellite view of intersection in 2020 Figure 1: View of the studied intersection from the Google map (41°17'44.8"N 69°16'07.2"E) II. L iterature R eview Despite of extensive research works on traffic congestion [2–10]during the past decades have focused on reducing traffic congestion and traffic safety[11–16] at signalized and unsignalized intersec- tions, and analyzing traffic emissions. These questions are directly related to the design of intersection and characteristics. Several studies [3,17–21]have been discussed traffic emission modeling at intersections. Computer model was developed for estimation traffic emissions for two kinds of intersections. This study presents a detailed analysis and modelling traffic flow emissions using PTV vissim software and methodology with reasonable solutions to plan a road intersection. From the analysis of the studied sources, very few researches have focused on the study of conventional and roundabout intersections. Some studies[17–22] have studied the effects of factors such as bus travel time and travel time variability and vehicle fuel consumption at the intersection, bus delay and focused on finding solutions to minimize delays. The impact of scheduled and unscheduled stops related to bus delays was studied using a linear multivariate regression model based on the collected automatic vehicle location data. There are many factors influencing to emission. The exhausted emissions are a product of this combustion process by burning fuels. Other significant input considered by the road emissions is street geometry, meteorological conditions, operation conditions, energy efficient vehicles and characterize the mechanical activities in the transport process, they are also related to emissions [19], [25], [27]–[29]. The studies showed that potential affects to minimize traffic negative impacts, reduce fuel consumption and emission using transport technology measures, shifting new type of fuels in power train system, technological improvements and optimal engine operation conditions, pollutant emissions per unit of length traveled have been significantly studied. Emissions are estimated by traffic data with vehicle traveled distance, speed and traffic flow data. However, they conclude that operation conditions are a special case, where collected data can be used to general total traffic volume, but it is not necessarily true for other areas. The collected data is used to obtain traffic volume as input to the emission calculation, but only for specific vehicles and road intersections. III. R esearch M ethod This study used a quantitative method to assess the signalized intersection of Mirabad-Shahrisabz- Mirabad-Shota Rustaveli streets crossing in Tashkent, by considering delay, traffic queue, fuel consumption, and as well as level of service (LOS). Map showing the location of the studied intersection is shown in Figure 2. The location of study was selected for research purposewhich is described as one of the congested intersection and potential to traffic congestion, Tashkent city and the intersection was four arm signalized intersection with fixed signal time.Inthis study data collection conducted in normal working day on November 12, 2020 and included data that traffic volume, cycle times and signalized phases, vehicle queue length and average vehicle speed. Data collection was carried out on Thursday for 12 hours including the peak of the morning, afternoon, and evening. Secondary data were for input values in PTV vissim 20 software and to calibrate the model based on the actual road conditions in Tashkent. Based on the analysis, traffic volume was in the period of 07.00-20.00. The traffic data are provided in Figure 3 which consists of trucks (2%), buses (3%), cars (95%). © 2022 Global Journals 1 Year 2022 20 Global Journal of Science Frontier Research Volume XXII Issue ersion I VI ( H ) Assessing the Operational Impacts of Road Intersection using PTV Vissim Microscopic Simulation