Development of Models of Interrupted Traffic Flow Conditions of Addis Ababa from a Study of an Urban Multi-Lane Highway

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Addis Ababa University


Congestion problems in metropolitan areas are not addressed only through infrastructure measures. Capital cities of developing countries like Ethiopia are existing witnesses in supporting such premises. Thus, in assisting the collective effort in alleviating congestion problems, investigation of contributing factors that have been taking role in the interruptions of smooth traffic flow states have got due attention of this research. Thus, several scholars who have researched in the area revealed that the interruptions are of two pair of types: fixed & non-fixed on facility, and recurrent & non-recurrent while the contributing factors are behavioral issues associated with pedestrian movement characteristics & drivers’ decision behaviors. Moreover, among the seven types of modeling of traffic flow states and transport engineering parameters, this research adopted Strategic/Statistical Modeling in capturing recurrent as well as both fixed and non-fixed interruptions on facilities. And in addition to the modeling and condition types selected, this research took a multi-characteristics urban multi-lane highway with considerable variation in traffic, pedestrian characteristics and drivers behavior. Then, validation studies were conducted on two other random locations in Addis Ababa and the study outcomes were recommended with few limitations. Finally, the results were interpreted and the key research findings were presented in three types. That is: statistical models, quantitatively captured behavioral parameters and inter-relationships among several captured parameters. And upon recommending for future use in research and practice, the 23 types of results were evident to be replicable to other analogous locations in Addis Ababa while other 3 are strongly stressed by the researcher that they shall remain to the study area. They are: pedestrian crossing speeds, pedestrian crossing patterns and the relationship between demand flow rate and saturation flow rate. KEY WORDS: CHARACTERISTICS, BEHAVIOR, MODEL, FLOW, STATE, INTERRUPTION, DECISION, DRIVER, PEDESTRIAN, TRAFFIC, STABLE AND UNSTABLE



Characteristics; Behavior; Model; Flow; State; Interruption; Decision; Driver; Pedestrian; Traffic; Stable And Unstable