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Abstract The intersection design and control type selection needs balancing between various constraints, which can be achieved through many monitor and control tools to analyze the operation, environmental, and intersection cost. This process is providing the best choice that addresses the intersection from all point of views and achieve the required goals from the project. In huge projects, the road network planning usually does not consider the intersection control type because modeling such this huge network type is time-consuming. Therefore, traffic engineers and highway designers are working together to study and select the most prudent intersection control type. Usually, this process of selecting the most appropriate intersection depends on engineering judgement to select the best intersection planning. The process of selecting the intersection type considers many quantifiable factors that can be evaluated to help decision-makers and urban planners to take an informed choice. The main objective of this thesis is to develop a framework, guidelines and charts that can help in selecting the best intersection control type in the planning level or design stage. It addressed the operational, environmental, and economy aspects that can be considered as a first screening tool to evaluate several traffic control types for the intersection. The thesis selected intersection types that represent the cornerstone control types in any road network. It compared many intersection alternatives with respect to operation related factors and environmental related factors. The study methodology is based on three major directions; operational, environmental, and cost analysis. First, the thesis developed charts for practitioners that could be used to determine the optimal intersection control type for a given intersection based on operational performance. The study first addresses the most used intersectionsincluding signalized, roundabout, and two-way stop control. It also provides an application case study for the intersection performance at the targeted level of service ”D”. The traffic patterns were used to calculate the intersection’s capacity and the average control delay. The combinations of turning distributions, percent of heavy vehicles, and type of control were considered resulting in more than 1000 simulations. |