Addis Ababa is challenged by providing access to safe, efficient and sustainable transport system.rnCongestion is becoming a common experience in different parts of the city due to the lack ofrnconsistent concentrated efforts from the various stakeholders. The city is critically inadequate tornprovide service for the increasing travel demand of the city. This research explores methods ofrnminimizing Addis Ababa transport system problem by using transport demand managementrnstrategies. Transportation Demand Management (TDM) refers to the various strategies adopted tornchange travel behavior to increase the transportation system efficiency and also to achieve reductionrnin congestion, fuel conception, environmental pollution, while focusing on the safety and mobilityrnof the road users. rn In order to select applicable demand management strategy the first step is to identify behavior ofrnmajor Addis Ababa transport problems. Primary and secondary data has been used to identifyrnbehavior of major transport problems. The behavior and effect of this problems have been describedrnusing system dynamics causal loop diagrams. After identification of Addis Ababa transportrnproblems Qualitative comparative analysis is used to confirm applicability of transport demandrnmanagement strategy. Applicable transport demand management strategy has been selected byrnconsidering correlation between Addis Ababa transport demand management barriers, transportrndemand management strategy and Addis Ababa transport problem behavior. Customized QFDrnanalysis is performed to measure relative importance of selected transport demand managementrnstrategy with transport service quality measuring parameters and prioritize the transport demandrnmanagement strategies. rnMath lab Digital image process analysis is used to analyze traffic intensity of typical trafficrncongestion of Addis Ababa. Input of Math lab analysis is image collected form Online Googlerntraffic monitoring webpage. Typical traffic condition data is collected for 17 hour per day for everyrnweek day. Math lab digital image analysis identifies traffic intensity of Addis Ababa with respect tornweek days and every season of the year. The result analysis shows decrease of traffic congestion byrn17 % to 31 % .Finally based on result of analysis space (location) and time of application ofrnselected transport demand management strategy is identified.