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Indonesia is a developing country with the fourth largest population in the world. Population in one of the provinces in Indonesia, namely Yogyakarta Special Region. Based on data from the Badan Pusat Statistik (BPS), the Special Region of Yogyakarta reached 3.8 million people in 2018. Of this number, almost one third (1.2 million people) are resid...
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This study aims to analyze driving behaviour at signalized intersections due to the countdown timer. In the scenario, we also test the countdown timer with running text that lacks attention in the literature. We collect data on lost time, early start, number of vehicles passing per cycle, number of violations and vehicle's speed. In determining the...
Indonesia is a developing country with the fourth largest population in the world. Population in one of the provinces in Indonesia, namely Yogyakarta Special Region. Based on data from the Badan Pusat Statistik (BPS), the Special Region of Yogyakarta reached 3.8 million people in 2018. Of this number, almost one third (1.2 million people) are resid...
The development of red boxes for motorcycles in Indonesia was initially adopted from the advanced stop line (ASL) for bicycles. The bike box concept was adopted for motorcycles in Indonesia. To date, red boxes have been fully implemented in 21 cities in Indonesia. The purpose of this study is to analyze the effect of traffic light countdown timers...
Citations
Traffic light optimization is one of the principal components to lessen the traffic flow and travel time in an urban area. The present article seeks to introduce a novel procedure to design the traffic lights in a city using evolutionary-based optimization algorithms in combination with an ontology-based driving behavior simulation framework. Accordingly, an ontology-based knowledgebase is introduced to provide a machine-understandable knowledge of roads and intersections, traffic rules, and driving behaviors. Then, a simulation environment is developed to inspect car behavior in real-time. To optimize the traffic lights, a sine-based equation was defined for each traffic light, and the total travel time of the vehicles was considered as the cost function in the optimization algorithm. The optimization was performed with 5, 10, 15, 20, 25, and 30 vehicles in the urban areas. Based on the results, in contrast to uncontrolled intersections without traffic lights, optimized traffic lights can significantly contribute to total travel time-saving. To conclude, due to an escalation in the number of vehicles, the significance of optimized traffic lights has encountered an increase, and unoptimized traffic lights could increase total travel time even more than a city deprived of any traffic light.
