Background: Road traffic acc idents (RTAs) are a major publ ic health concern, resulting in anrnestimated 1.2 million deaths and 20-50 million injuries worldwide each year. In developingrncountries RTAs are among the leading cause of death and injury. Ethiopia experiences thernhighest rate of such accidents in Sub-Saharan Africa. Out of a ll the accidents registered inrnEthiopia, Addis Ababa accounts for 60% on average.rnObjective: The objective of this study is to identify the factors that contribute to the occu rrencernof traffic acc idents leading to human injuries and death.rnMethod: This study appl ied binary and ordinal logistic regression models to identify factorsrninfluencing traffic fata lities and inju ries. Stratified samplin g with proportional a llocation andrnsimple random sampling technique are used to se lect samples from recorded fram e. The data isrnobta ined from Add is Ababa Traffic Control and In vest igation Department (AATCID). A total ofrn443 accidents involvi ng human injury that occurred within 365 consecutive days from July 8,rn2008 to Ju ly 7, 2009 are sampled.rnResults: Descriptive anal ys is indicates that 149 (33.6 percent), 196 (44.2 percent) and 98 (22.2rnpercent) are found to be s light injury, seri ous injury and fata l, respecti vely. Binary and ordinalrnlogist ic regress ion ana lyses showed that drivers aged 18-30 years caused the larger number ofrnacc idents followed by age group 3 1-50. Dri vers with lower ed ucat ional background, absence ofrnlighting, wet surface and asphalt pavements, morn ing and evening hours, places like offi ces,rnres id ential and commerc ial nei ghborhoods, automobiles and taxies/minibuses were fo und to bernstrong and signifi cant predi ctors of severity fata liti es/seri ous injuries for traffic accidents inrnAdd is Ababa.rnConclusion: For effective and safe traffic management, the concerned tran sportation authoritiesrncan cons ider the above mentioned predictors as potenti al causes of acc idents in the ir order ofrnimportance. The findings of thi s study can serve as a basis for policymakers to create preventivernmeasures for traffic accidents.