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

a) b) Figure 2: a) Map showing the location of the studied intersection and b) Traffic volume at evening peak hour Figure 3: Traffic volume at evening peak hour Traffic congestion is related with increased emission rate and fuel consumption at the intersection. Therefore, the obtained traffic data for emission modelling usually relies on the traditional approaches. Emissions are functional relationships of the traffic condition, expressing the quantity of a pollutant vehicles, distance, time or mass of fuel burned. The vehicles give an important contribute to air pollutions, overall in respect of Carbon Dioxide (CO2), Hydrocarbons (HC), Carbon monoxide(CO), Nitrogen oxides (NOx) and volatile organic compounds (VOC).Emission data is expressed in grams of pollutions per kilometer. In general, exhausted emissions from vehicle can estimated following equation: = ∙ Where, − relative emission factorand − vehicles traveled distance. Traffic signal is accepted the traffic control for the congested intersections and using this form of queueing with an arrival rate ( λ ) and a departure rate ( µ ). Maximal number of vehicles in queue can be found as = λ ∙ r . Queue can be computed following formula: = ∙ 1 − Where, − Time for queue to empty, − red time and = λ µ � . Delay can be found with perception of arrival rate, departure rate and red time. Total delay is product of all queues in the time period and maximum delay is equal to red time. Average vehicle delay per cycle can be found such as: 1992 2643 3464 4294 5040 5484553955475483 5548538052135006 47624619448444114323 1000 1500 2000 2500 3000 3500 4000 4500 5000 5500 6000 Traffic volume Time 1 Year 2022 2 © 2022 Global Journals 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