基于高峰时段交通行为的Cibubur Transyogi道路体积-速度-密度关系建模

Juang Akbardin, Dadang Mohamad, A. Z. Rahmadani
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摘要

Transyogi road Cibubur是连接茂物市活动区域的主要道路。本研究建立了体积-速度-密度关系模型,以确定该区域内活动系统引起的交通行为。使用的研究方法是定量描述性研究,使用数学方程建模。该路段发生的城际交通运动导致交通流状况变得不稳定,加上该区域的交通量和车辆数量的增长速度很大,这意味着有必要进行规划,以预测未来的交通运动需求。宏观的方法可以显示整体的交通流量。该方法由3个参数描述,即交通流量(体积)、密度和速度。Greenshield、Greenberg和Underwood模型可以用数学方法描述这三个参数之间的关系。研究结果表明,Underwood模型显示了高峰时段的流量特征,周五的模型显著性分析值为0.940。对于速度和密度之间的模型方程,我们得到S = 54.1 Exp (-D /370.15)体积和密度得到V = 54.1 D Exp (-D /370.15)体积和速度得到V = 370.15 S Ln (54.1/S)。体积-速度-密度关系模型表明,城市交通具有由覆盖面积构成的区域所决定的特征。因此,控制该区域高峰时段的交通量必须通过调整所穿越的道路廊道上的活动系统来控制。
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Modeling Volume-Speed-Density Relationship on the Cibubur Transyogi Road Based on Traffic Behavior During Peak Hours Activity
Transyogi road Cibubur is the main road connecting the activity zone in the city of Bogor. This research models the Volume - speed - density relationship model to determine traffic behavior caused by the activity system in that zone. The research methodology used is quantitative descriptive research modeled using mathematical equations. The inter-city traffic movement that occurs on this section causes the traffic flow situation to become unstable, plus the large rate of increase in traffic and the number of vehicles in the area means it is necessary to carry out planning to anticipate future traffic movement needs. A macroscopic approach can show overall traffic flow. This approach is described by 3 parameters, namely traffic flow (volume), density and speed. The Greenshield, Greenberg, and Underwood models can describe the relationship mathematically between these three parameters. The results of the research show that the flow characteristics at peak hour conditions are shown in the Underwood model with the model significance analysis value on Friday having a value of 0.940. For the model equation between Speed and Density we get S = 54.1 Exp (–D/370.15) Volume and Density get V = 54.1 D Exp (–D/370.15) Volume and Speed get V = 370.15 S Ln (54.1/S). The volume - speed - density relationship model shows that traffic in urban areas has characteristics determined by the zones built from the cover area. So, controlling traffic volume during peak hours in this zone must be controlled by adjusting the activity system on the road corridors that are traversed.
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