首页> 外文期刊>Jurnal Teknologi Informasi dan Komunikasi >IMPLEMENTASI METODE ANT COLONY OPTIMIZATION (ACO) UNTUK PEMILIHAN JALUR ARTERNATIF TERPENDEK KASUS KEMACETAN LALU-LINTAS KOTA SEMARANG TIMUR
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IMPLEMENTASI METODE ANT COLONY OPTIMIZATION (ACO) UNTUK PEMILIHAN JALUR ARTERNATIF TERPENDEK KASUS KEMACETAN LALU-LINTAS KOTA SEMARANG TIMUR

机译:蚁群优化(ACO)方法的实施,用于选择竞技途径最短的交通拥堵案例

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The One of the problems that contributed to the worsening traffic conditions, which will be used as research material here is the problem of road narrowing on the road segment that is packed with traffic flow. The road narrowing is a part of the road with the traffic capacity condition subsequently smaller than the up stream. Such road conditions can occur for example when entering the bridge, the occurrence of an accident that causes some of the width of the road is closed, in the event of road improvements or other conditions, causing the change of vehicle travel from the free flow becomes disrupted resulting in decreased speed and increased inter density vehicle. To overcome the problems that exist in the industrial world. Ant Colony Optimization belongs to the Swarm Intelligence group, which is one type of development paradigm used to solve optimization problems where the inspiration used to solve the problem comes from insect swarm behavior or swarms. from this research study are the factors that influence the traffic congestion and the program of action plan that will be done to handle traffic congestion problem in Semarang city road especially in Semarang Timur road Mranggen Semarang. A traffic congestion problem problem with the determination of the shortest pathway using ACO .
机译:促成了恶化的交通状况的问题之一,这将在这里使用作为研究材料是围绕交通流量包装的道路狭窄的道路问题。道路缩小是道路的一部分,交通能力条件随后小于上游流。例如,当进入桥时,可以发生这种道路条件,导致道路宽度的事故发生在道路改进或其他条件下,导致车辆从自由流动的变化变为扰乱速度降低和跨密度跨度跨度跨度。克服工业世界存在的问题。蚂蚁殖民地优化属于群体智能集团,这是一种开发范式,用于解决优化问题,其中用于解决问题的灵感来自昆虫群行为或群体。从本研究中,研究是影响交通拥堵和行动计划的因素,以便在Semarang City Road Mranggen Semarang中处理Semarang City Road的交通拥堵问题。使用ACO确定最短途径的交通拥堵问题问题。

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