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Determining of Parking Lot Area Policy Using System Dynamic Simulation Approach

机译:使用系统动态仿真方法确定停车场区域政策

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Parking lot is one of the important public facilities for all people because of its function to accommodate the stopping vehicles. However, because of its limited parking area, a lot of vehicle users park their vehicles at side of the road. It resulted in street problems because the road become narrower and this creates stuck traffic jam. Sleman, one of five districts in Yogyakarta Province, has heavy stuck traffic jam due to the narrow road. The problem arises when many people park their vehicles at the side road. One of the dense parking area in Sleman District is Babarsari Road, Gejayan Road, and road in Ambarukmo areas. Stuck traffic jam get worse due to increasing vehicle numbers and limited parking area available. The increased vehicle numbers are influenced by many dynamic variables. Therefore, an approach to formulate and adopt policy for dynamic parking side area is seriously needed. This research was conducted to analyze the existing parking area width. The purpose of this study is to offer accurate recommendations to improve parking area capacity by using system dynamic simulation approach. The research was startedon understanding the real system in formulating causal loop diagram and stock and flow diagram to understand interactive relationship among variables. Following this matter, two scenarios were made to get recommended policy in order to accommodate side road parking area width to reduce stuck traffic jam. From two proposed scenarios, it was found that the second scenario was the best recommendation with the least error score.
机译:停车场是所有人的重要公共设施之一,因为它可以适应停车车辆。然而,由于其停车区有限,很多车辆用户将车辆停在路边。它导致街道问题,因为道路变得较窄,这会产生卡住的交通堵塞。 Sleman是Yogyakarta Province的五个地区之一,由于道路狭窄,拥有沉重的交通堵塞。当许多人在侧面道路上停用车辆时出现了这个问题。 Sleman区密集停车区是Babarsari Road,Gejayan Road和Ambarukmo地区的道路。由于车辆数量增加和可用的有限停车区,卡住了交通堵塞变得更糟。增加的车辆数受到许多动态变量的影响。因此,严重需要一种制定和采用动态停车侧区域的策略的方法。进行了该研究以分析现有停车区宽度。本研究的目的是通过使用系统动态仿真方法提供准确的建议,以提高停车区容量。该研究已经开始了解制定因果环图和库存和流程图中的真实系统,以了解变量之间的交互关系。在此问题之后,进行了两种情况,以获得建议的策略,以适应侧面路停车区宽度以减少卡住的交通堵塞。从两个建议的场景中,发现第二个方案是具有最不错误分数的最佳推荐。

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