Characteristics and Patterns of Commodities Transport Drivers on the Pantura Highway, Java Island with Clustering Analysis

Q3 Social Sciences
M. Arifin, Zony Yulfadli, Moch. Abdilah Nafis
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Abstract

The movement patterns of commodities transport drivers are useful in determining the optimization policy of other vehicle paths. One of the critical parameters in determining the optimal path represents the determination of a dense transportation route on the Pantura Highway. Pantura obtains saturation due to the vehicle loads. This saturation is caused by increasing fuel subsidies, increasing air and noise pollution, congestion, and accident costs. This study aims to analyze the patterns of commodities transportation on the Pantura Highway of Java, which can be diverted to other preferred modes of transportation. The objects of this study are container trucks, which represent a mode of commodities transportation. The modes of transportation could be diverted to several alternatives, such as container ships and trains to progressively reduce road saturation. As a consequence, the saturation could be minimized. Optimizing the patterns of movement of commodities transportation could use the k-prototypes algorithm to classify freight transportation on Pantura based on the similarity of the characteristics in terms of ten parameters. Based on the optimization results, there were three clustering, including the transportation of commodities with a distance of less than 200 km where it was difficult to transfer to other modes of transportation, commodities transportation with a distance of 200-600 km where it could be considered for policies related to the transportation of commodities that were difficult to rot, and the commodities transportation over a distance of more than 600 km where it could a bit also considered for perishable commodities.
爪哇岛潘图拉公路商品运输驾驶员特征与模式的聚类分析
商品运输驾驶员的运动模式有助于确定其他车辆路径的优化策略。确定最佳路径的关键参数之一代表潘图拉公路上密集运输路线的确定。Pantura由于车辆负载而达到饱和。这种饱和是由增加燃料补贴、增加空气和噪音污染、拥堵和事故成本造成的。本研究旨在分析爪哇潘图拉公路上的商品运输模式,这些模式可以转向其他首选的运输方式。本研究的对象是集装箱卡车,它代表了一种商品运输方式。运输方式可以转向几种替代方式,如集装箱船和火车,以逐步降低道路饱和。因此,饱和可以被最小化。优化商品运输的移动模式可以使用k-原型算法,根据十个参数特征的相似性对潘图拉的货物运输进行分类。基于优化结果,存在三个聚类,包括距离小于200公里且难以转移到其他运输方式的商品运输、距离200-600公里且可考虑与难以腐烂商品运输相关政策的商品运输,以及距离超过600公里的商品运输,在那里也可以考虑易腐商品。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Open Transportation Journal
Open Transportation Journal Social Sciences-Transportation
CiteScore
2.10
自引率
0.00%
发文量
19
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