A study of Black Bpot Improvement at Intersections of Engineering Faculty, Khon Kaen University by Applying Microscopic Traffic Simulation
The objective of this study is to propose and evaluate the measures to improving a group of intersections around the parking area of Engineering Faculty, Khon Kaen University by applying the traffic simulation. The author surveyed traffic during morning peak hours for model calibration and surveyed traffic during evening peak hours for model validation. The developed model could pass the calibration and validation process according to the international criteria. Then, the author applied the developed model to evaluate the proposed measures, including 1) Improvement to four-leg intersection with warning signs 2) Improvement to four-leg signalized intersection and 3) Improvement to roundabout. The evaluation results revealed that the improvement to roundabout is the most appropriate measure: the queue length is decreased by 50%; the average delay is decreased by 44%, and the conflict point is decreased by 41% compared to the existing condition. The results of sensitivity analysis showed that the traffic is increased 30% the improvement to roundabout is still the most appropriate measure : the queue length is decreased by 24%, the average delay is decreased 13%, and the conflict point is decreased by 51% compared the the existing condition.
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