Addis Ababa city like most of the cities of developing countries are, facing serious environmentalrntraffic noise pollution problem, due to the increasing at an alarming rate of motor vehicles, thernexpansion of the road network, and poor urban planning. This study is directed to examine thernstatus of highway traffic noise level at different landuse areas along different road class moreover,rnrelationship between noise level and traffic flow is developed. In this study, four main categoriesrnof the traffic route and land use are established. Traffic noise levels and traffic volume werernconducted 9 times at each 41 selected spots on different days of weeks across four various landrnuse areas of the city for 15 minutes with 3 readings per each period of the day time; morningrn(7AM-10AM), afternoon (11AM-3PM) and evening (4 Pm-7PM). Statistical analysis of daytimerntraffic noise in the city was carried out and results are presented in terms of average percentage ofrnexceeded noise level: L10, L50 and L90. Main noise descriptors viz. Equivalent continuous noisernlevel (Leq), traffic noise index (TNI), noise pollution level (LNP) and noise climate (NC) arerndetermined and discussed for each spot per road category and land use. Results of this studyrnindicated that the highest range of Leq 77.2 to 80.7 dBA was observed in industrial zone followedrnby 75.1 dBA-80.1 dBA in commercial zones, 71.7 - 80.0 dBA in sensitive zones, and 70.0 - 79.1rndBA in residential areas. Observed Leq (dBA), at all measurement points exceeds national andrninternational standard limit values by 2.2 to 25.0 dB (A) and 12.2 to 35.0 dBA, respectively.rnANOVA test shows that there is a significant difference (P < 0.05) in noise pollution levels andrnequivalent noise level in established land use areas. Also, result parameters F-test statistics impliesrnthere is no significant difference between overall morning, afternoon, evening time traffic noisernlevel in the city as F calculated (0.005) < F critical (3.07). A linear regression analysis performedrnbetween the Leq and logarithm of total traffic volume (log Q) produced a coefficient ofrndetermination rrn of 0.851. A multi regression analysis carried out between the Leq and two classesrnof traffic vehicle types resulted in a correlation coefficient of 0.7502. Results of this study clearlyrnrevealed that total traffic volume and number of heavy transport vehicles are the most significantrnfactors of cities traffic noise pollution. Spearman rank correlation coefficients with value of -0.812rnagain proved that the classification of urban street noise as a meaning of the road hierarchy is anrnappropriate part of the design of studies of urban noise caused by traï¬ƒc. In order to reducernalarming condition traffic induced noise levels within the city, both technical actions and nontechnicalrnapproachesrnwerernalsornpresented.